PracticeSuite Reviews by Employees

Experience : 4+Years. Location : Kochi, Kerala (Complete WFO). Responsibilities : - Application development experience in Java / J2EE development. - Experience in web application development is mandatory. - Experience in JSP, Servlets, MVC, Struts or Spring is desirable. - Good understanding in OOP concepts, MVC architecture, RDBMS is mandatory. - Good understanding of Design Patterns and software architecture. - Exposure to AJAX, jQuery, ExtJS, Bootstrap, Angular, Jasper Reports is a plus. - Should have strong analytical a problem-solving skill. - Knowledge / exposure in agile methodology. - Good communication skills. - Able to work independently. - Experience in OAuth2.0, API, and RESTful Interface will be added advantage. Who We Are : PracticeSuite is a national, fast-growing cloud computing software company based in Tampa, FL that provides a cloud-based 360- Office Platform to healthcare facilities. PracticeSuite has an agile management team, high employee morale, and high customer satisfaction and retention. PracticeSuite is growing rapidly and is being recognized as one of the 5 top cloud-based systems within healthcare. PracticeSuite, Inc is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, colour, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. PracticeSuite, Inc also complies with all applicable national, state and local laws governing non-discrimination in employment.

Cochin/Kochi

PracticeSuite - Senior Java Software Engineer 

About the Role : Opportunity to build the first Site Reliability Engineering function from the ground up at a company modernizing how it delivers healthcare technology. You won't be joining an established team and learning its playbook - you'll be writing it. You'll define what reliability means for our systems, build the practices and tooling that make production stable and predictable, and hire and shape the very first engineer on your team. This role offers technical ownership and people leadership early in a function's life, direct visibility with senior technical leadership, and the opportunity to build lasting influence over how a growing organization runs its most critical systems. Responsibilities : - Own on-call and incidents: US-hours coverage, severity, incident command, write-ups, and follow-through. - Drive production reliability: availability, latency, and tested backup/restore practices across current and emerging platforms. - Reduce operational toil by converting recurring manual work into monitoring and automation, in partnership with your team. - Implement strong operational standards: logging, access control, deployment evidence, and restore testing. - Build the team: hire the first SRE individual contributor within 90 days of your start. Requirements : - 2+ managing or team lead responsibilities for site reliability engineering and/ or similar production operations (DevOps) roles. - Strong core Linux fundamentals - process/memory management, filesystems, networking, shell scripting, and troubleshooting in production environments. - Experience with monitoring/observability tooling (i.e., Greylog, Prometheus/Grafana) and CI/CD pipelines. - Database experience - Oracle strongly preferred, Postgres a plus. - Experience with virtualization platforms - Proxmox VE experience strongly preferred; general hypervisor/VM management concepts (KVM, VMware, or similar) a plus. - Working knowledge of AWS core services (EC2, VPC, IAM, S3, RDS, CloudWatch) and cloud infrastructure concepts, with the ability to reason about cost, scaling, and resilience trade-offs. - Hands-on Docker experience - building, running, and troubleshooting containerized services in production; container orchestration (i.e. ECS, Kubernetes) a plus. - Understanding of security standards and practices (access control/IAM, encryption at rest and in transit, patching cadence, vulnerability management) familiarity with frameworks like HIPAA, SOC 2, or ISO 27001 a plus given the regulated environment. - Ability to run effective collaboration across time zones with US-based stakeholders. Location : Kochi, India (US-hours overlap required) Reports to : Director of Infrastructure & Reliability Department : Engineering & System Operations

PracticeSuite - Manager - Site Reliability Engineering 

PracticeSuite, a leading SaaS company providing cloud-based practice management and medical billing solutions. We are seeking a detail-oriented and motivated Product Managers to join our team. In this role, you will serve as the subject matter expert for our healthcare products and solutions and will work closely with development and support teams, to deliver high-quality solutions. Job Description : - Support the strategic product planning, development lifecycle and product launch cycles for our product offerings. - Drive the execution of all processes in the product lifecycle, including product and market research, competitor analysis, planning, positioning, requirements and roadmap development, and product launch. - Collaborate with stakeholders for defining, communicating and implementing the product segment strategy. - The position liaison's directly with the technology development resources, and assumes primary leadership for the effective communication, company readiness, release, roll out and positioning of our offerings. - Participate in sprint planning discussions to define the sprint goal and refine the product backlogs. - Translate product strategy into detailed requirements for prototyping and final development by engineering teams. - Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI. - Review the works by the development team and ensuring that they are in sync per the product vision. - Serve as the interface with customers, internal development groups and all stakeholders. - Updating and maintaining CRM/Jira for internal tracking. - Keeping a close watch on the progress of development items and ensuring their execution and delivery within the expected timelines. Required Skills/Experience : - Minimum 6-10 years of product experience. - The ideal candidate should be self-motivated, driven, and capable of envisioning the future direction of the product. - Prior Product Management experience would be an added advantage; however, it is not mandatory. - Knowledge in technology and healthcare (US Healthcare ) product platforms is a must. - Expertise in Revenue Cycle Management/ Clinical or other areas within the healthcare domain and has acquired immense product knowledge because of working in these areas. - Able to understand/communicate the vision of the solution and drive the details. - Should be able to converse in English and Malayalam. WHO WE ARE : PracticeSuite Pvt. Ltd, is a national, fast-growing cloud computing software company based in Kochi and Mumbai that provides a cloud-based 360- Office Platform to healthcare facilities. PracticeSuite has an agile management team, high employee morale, and high customer satisfaction and retention. PracticeSuite is growing rapidly and is being recognized as one of the 5 top cloud-based systems within healthcare.

PracticeSuite - Associate Product Manager/Principal Business Analyst - Healthcare Domain 

About PracticeSuite : PracticeSuite is a leading healthcare technology company providing cloud-based Electronic Health Records (EHR), Practice Management, Revenue Cycle Management (RCM), and healthcare interoperability solutions to medical practices across the United States. We are seeking a highly skilled Cyber Security Specialist to join our Information Security team in Kochi. This role will be responsible for protecting the organization's infrastructure, applications, cloud environments, and sensitive healthcare data from cyber threats while ensuring compliance with healthcare industry security standards and regulations. Position Summary : The Cyber Security Specialist will play a critical role in identifying, analyzing, and mitigating cybersecurity risks across the organization. The ideal candidate will have hands-on experience in security operations, vulnerability management, incident response, cloud security, endpoint protection, and regulatory compliance. This individual will work closely with IT, Engineering, DevOps, and Compliance teams to strengthen PracticeSuite's overall security posture. Key Responsibilities : - Monitor security alerts, logs, and events using SIEM and security monitoring tools. - Investigate suspicious activities and potential security incidents. - Conduct threat detection, threat hunting, and security event analysis. - Develop and maintain security monitoring dashboards and reporting. - Lead and participate in cybersecurity incident investigations. - Perform root cause analysis and recommend remediation actions. - Coordinate incident containment, eradication, and recovery efforts. - Maintain incident response playbooks and documentation. - Conduct regular vulnerability assessments and security scans. - Prioritize vulnerabilities based on risk and business impact. - Coordinate remediation efforts with infrastructure and development teams. - Validate remediation activities through re-testing. - Implement and maintain security controls within cloud environments. - Monitor cloud security posture and identify misconfigurations. - Assist in securing cloud-hosted applications, databases, and services. - Support cloud security compliance initiatives. - Manage endpoint security solutions including EDR/XDR platforms. - Review firewall configurations and network security controls. - Monitor network traffic for indicators of compromise. - Support secure network architecture initiatives. - Conduct cybersecurity awareness training for employees. - Promote security best practices across the organization. - Assist in phishing simulations and security education programs. - Partner with Software Engineering and DevOps teams to integrate security into the SDLC. - Participate in security reviews for new systems and applications. - Support third-party vendor security assessments. Required Qualifications : - Bachelor's degree in Cyber Security, Information Technology, Computer Science, or related field. - 5+ years of experience in cybersecurity, information security, or security operations. - Strong understanding of cybersecurity frameworks and best practices. - Experience with SIEM platforms and security monitoring tools. - Hands-on experience with vulnerability assessment and remediation. - Knowledge of network security concepts, protocols, and architectures. - Experience with endpoint protection, EDR/XDR solutions, and threat detection. - Understanding of cloud security principles and technologies. - Familiarity with incident response methodologies. - Excellent analytical and problem-solving skills. - Strong verbal and written communication skills. Success Metrics : - Reduction in security vulnerabilities and remediation timelines. - Effective incident detection and response performance. - Compliance audit readiness and successful audit outcomes. - Security awareness adoption across the organization. - Continuous improvement of PracticeSuite's security posture. Experience : 8+ Years. Location : Kochi, Kerala (Complete WFO). Shift : Night Shift (US Business Hours). Who We Are : PracticeSuite is a national, fast-growing cloud computing software company based in Tampa, FL. that provides a cloud-based 360 Office Platform to healthcare facilities. PracticeSuite has an agile management team, high employee morale, and high customer satisfaction and retention. PracticeSuite is growing rapidly and is being recognized as one of the 5 top cloud-based systems within healthcare. Please visit our website to learn more about us, at www.practicesuite.com. PracticeSuite, Inc is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. PracticeSuite, Inc. also complies with all applicable national, state and local laws governing nondiscrimination in employment.

PracticeSuite - Cyber Security Specialist 

Location : Kochi, Kerala, India (On-site). Shift : Mid Shift (Aligned with US Business Hours). Department : Product Management. Reports To : Development Manager. About Hello Health : Hello Health is a rapidly growing healthcare technology company focused on delivering innovative digital solutions that improve the patient experience, streamline healthcare operations, and empower providers with modern technology. Our platform supports healthcare organizations through intuitive, scalable, and data-driven solutions designed to enhance care delivery and operational efficiency. We are seeking an experienced and customer-focused Product Manager to drive the vision, strategy, and execution of key product initiatives. This role will work closely with Engineering, Design, Operations, Sales, Customer Success, and Executive Leadership to deliver products that create measurable value for customers and support business growth. Position Summary : The Product Manager will be responsible for defining product strategy, gathering customer and stakeholder requirements, managing product roadmaps, and leading cross-functional teams through the product lifecycle. The ideal candidate combines strong business acumen, analytical thinking, customer empathy, and technical understanding to deliver products that solve real-world healthcare challenges while supporting company objectives. Key Responsibilities : - Define and communicate product vision, strategy, and roadmap aligned with company objectives. - Identify market opportunities, customer needs, and emerging industry trends. - Develop business cases and prioritize initiatives based on customer value and business impact. - Collaborate with leadership to align product investments with strategic goals. - Create and maintain product roadmaps. - Define product requirements, user stories, and acceptance criteria. - Prioritize product backlog based on business value, customer feedback, and technical considerations. - Ensure roadmap transparency across stakeholders. - Gather and analyze customer feedback, market data, and competitive intelligence. - Conduct customer interviews and product discovery sessions. - Understand user workflows and pain points to identify opportunities for innovation. - Translate customer insights into actionable product requirements. - Partner closely with Engineering, UX/UI Design, QA, Operations, and Customer Success teams. - Facilitate communication between business and technical stakeholders. - Ensure alignment across teams throughout the product development lifecycle. - Support change management and product adoption initiatives. - Lead product development initiatives from concept through launch. - Participate in Agile ceremonies including sprint planning, backlog grooming, and release planning. - Monitor project progress and proactively address risks and dependencies. - Ensure timely delivery of high-quality product releases. - Define and track product KPIs and success metrics. - Analyze user behavior, product adoption, and customer satisfaction data. - Identify opportunities for product optimization and growth. - Use data-driven insights to guide decision-making. Required Qualifications : - Bachelor's degree in Business, Technology, Computer Science, Healthcare Administration, Engineering, or related field. - 5+ years of Product Management experience within a SaaS or technology environment. - Proven experience managing software products through the full product lifecycle. - Strong understanding of Agile methodologies and product development processes. - Excellent communication, stakeholder management, and presentation skills. - Strong analytical and problem-solving abilities. - Experience translating business requirements into technical solutions.

PracticeSuite - Product Manager - SaaS Domain 

Description : Role & responsibilities : Responsibilities : - Design stable, reliable and effective database programs to ensure that data processing production systems meet user needs - PL/SQL and SQL Tuning and Optimization of newly developed and existing applications - Provide data analysis and validation - Leverage Oracle 10g/11g features to their fullest on a large-scale system. - Identification of performance issues on production and testing systems. - Interact with internal and external clients to understand requirements, explain issues and prioritize work. - Involved in all aspects of the software development life cycle and demonstrate abilities to learn both the business processes as well as new and existing pl/sql technologies Requirements: - Basic knowledge of Oracle database architecture - Advanced database development experience (Oracle SQL/PLSQL) - Knowledge of software development - Strong SQL development, SQL analytics and tuning skills - Excellent analytical and organizational skills - An ability to understand front-end users requirements and a problem-solving attitude - Strong communications skills (both verbal & written) Location : Smartcity, Kochi Experience : 3-8 years Notice Period : Immediate Joiners

PracticeSuite  - PL-SQL Developer 

Job Summary : We are seeking two SAP Business One Functional Consultants with 4 - 8 years of experience to support and enhance SAP Business One operations across multiple global entities. The consultants will work closely with Senior Functional Consultants and business stakeholders to provide functional support, participate in implementation projects, analyse business requirements, and contribute to process improvement initiatives. Key Responsibilities : - Provide day-to-day SAP Business One functional support to business users. - Analyse and resolve functional issues across Finance, Sales, Purchasing, Inventory, Production, and Service processes. - Support incident, change request, and enhancement activities. - Participate in SAP Business One implementation and rollout projects. - Assist in requirement gathering, testing, user training, and go-live activities. - Work closely with Senior Consultants, Technical Consultants, and Business Users. - Support business process improvement and template standardization initiatives. - Prepare and maintain functional documentation, SOPs, test scripts, and user guides. Required Experience & Skills : - 6 - 15 years of SAP Business One functional consulting experience. - Strong experience in SAP Business One support activities. - Exposure to SAP Business One implementation and rollout projects. - Experience working with multinational clients or within an MNC environment. - Good understanding of Finance, Sales, Purchasing, Inventory, Production, or Service processes. - Strong analytical, communication, and stakeholder management skills. - Experience working in a structured corporate environment and large teams. Preferred Qualifications : - Experience supporting multiple company databases or legal entities. - Independent project handling experience will be an added advantage. - SAP Business One certification is desirable

Pune

KSB - SAP Business One Functional Consultant 

Role Summary: We are seeking an experienced Senior Diameter Engineer to design, implement, optimise, and support carrier-grade Diameter signalling solutions across Data core, Voice, roaming, policy, charging, and subscriber-data environments. Total Experience: 8-10 years Key Responsibilities: - Govern, design, configure, test, and support DRA, DEA, and Diameter signalling platforms in telco networks. - Manage Nokia and Ericsson Diameter routing, peer, realm, application, traffic steering, topology hiding, overload, and security configurations. - Integrate DRA with core network functions such as HSS/HLR, UDM, PCRF/PCF, OCS/CHF, TAS, MME/AMF, SBC, roaming hubs, IPX/GRX providers, and partner networks. - Support LTE/EPC, IMS, VoLTE, VoWiFi, roaming, policy, charging, subscriber authentication, and 4G-to-5G interworking services. - Analyse traces, logs, alarms, KPIs, peer status, latency, transaction success rates, and capacity trends to maintain service quality. - Lead incident investigation and root cause analysis for routing failures, peer issues, congestion, roaming faults, charging issues, and IMS signalling incidents. Tech Stack: - Platforms: Ericsson DRA/DEA, Nokia DRA/DEA, Ericsson CNIS - Protocols: Diameter (S6a/S6d, S9, Gx, Gy, Rx, Ro, Cx/Dx, Sh, SWx, SLg, SLh, Sy) - Technologies: LTE/EPC, IMS, VoLTE, VoWiFi, 4G/5G Interworking, IPX/GRX - Tools: Wireshark, tcpdump, Linux/Unix CLI, VMware, OpenStack, Kubernetes

Anywhere in India/Multiple Locations

IP Global Services - Senior Diameter Engineer - Telecom Domain 

Sonata Software is a global technology company that enables businesses to transform, grow, and succeed in the digital economy. We are seeking a skilled .NET Full Stack Developer to join our team. Mandatory Skills : - .NET - C# - .NET Core - Entity Framework - Web API - JavaScript, jQuery - Kendo - AWS, HTML5/CSS3, and SQL Server. Job Summary : We are looking for an experienced .NET Full Stack Developer with expertise in .NET, C#, .NET Core, Entity Framework, Web API, JavaScript, jQuery, Kendo, AWS, HTML5/CSS3, and SQL Server. The ideal candidate will have a strong understanding of software development principles, patterns, and practices. Responsibilities : - Design, develop, and deploy scalable and secure .NET applications. - Build RESTful APIs using Web API and Entity Framework. - Implement frontend logic using JavaScript, jQuery, and Kendo UI. - Develop cloud-based applications using AWS services. - Ensure cross-browser compatibility using HTML5/CSS3. - Design and implement databases using SQL Server. - Collaborate with cross-functional teams to identify and prioritize project requirements. - Participate in code reviews, ensuring high-quality code and adherence to industry standards. - Troubleshoot and resolve technical issues. Requirements : - 7+ years of experience in .NET development (C#, .NET Core). - Strong expertise in : 1. .NET Framework 2. C# 3. .NET Core 4. Entity Framework 5. Web API 6. JavaScript 7. jQuery 8. Kendo UI 9. AWS services 10. HTML5/CSS3 11. SQL Server - Experience with agile development methodologies. - Excellent problem-solving skills and attention to detail. - Effective communication and collaboration skills. Nice To Have : - Experience with microservices architecture. - Knowledge of containerization (Docker). - Familiarity with DevOps practices (CI/CD). - Experience with cloud-based databases (AWS Aurora, Azure SQL). - Knowledge of security best practices (OWASP). What We Offer : - Competitive salary and benefits package. - Opportunity to work on challenging projects. - Collaborative and dynamic work environment. - Professional development and growth opportunities. - Flexible working hours and remote work options.

Bangalore

Sonata Software - .Net Full Stack Developer 

Responsibilities : - Demonstrate strong understanding of enterprise contact centre architecture. - Understand how agent desktop, routing, skills, queues, and telephony integrations function within enterprise ecosystems. - Support transition planning and migration efforts toward Amazon Connect. - Assist in mapping legacy configurations to cloud-native equivalents. - Ensure governance, documentation, and configuration consistency. - Provide mentorship and technical guidance to platform administrators. Enterprise Contact Centre Administration (Legacy Platforms) : - Administer and configure enterprise contact centre platforms such as Cisco UCCE / Finesse, Genesys Engage / Workspace, or similar enterprise solutions. - Deploy and manage agent desktop components and configurations. - Configure Not Ready and Wrap-Up reason codes. - Create and manage phonebooks and agent teams. - Configure call variable display and desktop settings. - Create and manage agent profiles. - Assign skills and configure skill-based routing. - Maintain routing configurations and queue structures. - Ensure configuration consistency across environments. Migration Support : - Support migration planning from legacy contact centre platforms to Amazon Connect. - Analyse and document existing routing logic, skills, agent states, and configuration dependencies. - Assist in translating legacy routing models into Amazon Connect contact flows, routing profiles, and queues. - Support integration mapping between Amazon Connect and enterprise systems. - Participate in testing, validation, and phased rollout execution. - Support coexistence model during migration. - Assist in documentation and knowledge transfer activities. Must-Have Skills : - Hands-on experience with Cisco UCCE / Finesse. - Hands-on experience with Genesys Engage / Workspace. - Experience with Amazon Connect configuration and administration. - Experience supporting cloud migration or modernization programs. - Familiarity with AWS ecosystem services supporting contact centre integrations. - Experience in hybrid (on-prem + cloud) coexistence environments. - Experience working in regulated enterprise environments.

Hyderabad

Lead Cisco Finesse Developer - Contact Centre 

Job Title : Staff/Lead Engineer (Blockchain & DeFi) Function : Technology - Engineering Location : Gurgaon, India Employment Type : Full-time Key Responsibilities : - Design and build production-grade smart contracts and protocol integrations (EVM/Solidity; other chains as required), from architecture through deployment and upgrade management. - Architect wallet, custody, and transaction-orchestration services - key management integration (MPC/HSM/multisig), signing flows, nonce and gas management, and chain indexing. - Build robust backend services and APIs (microservices, event-driven architecture) that bridge on-chain activity with the bank's core platforms, ledgers, and compliance systems. - Own technical decisions end-to-end : system design, trade-off analysis, technology selection, and architecture reviews for the digital asset stack. - Integrate with DeFi protocols, liquidity venues, oracles, and bridges safely - including failure handling, reconciliation, and monitoring of on-chain positions. - Drive engineering excellence : coding standards, automated testing (including contract testing and fuzzing), CI/CD, observability, and infrastructure-as-code. - Partner closely with Security (including the Security Architect - DeFi), Risk, and Compliance to ship products that meet the bar of a regulated bank. - Lead incident response for production issues in the digital asset stack, driving root-cause analysis and long-term fixes. - Mentor and uplift senior and mid-level engineers; influence the technical roadmap across squads without direct people-management responsibility. - Stay ahead of the Web3 ecosystem - evaluating new chains, standards (e.g., ERC-4337, token standards), and tooling for adoption. Required Experience & Skills : - 10+ years of software engineering experience, with 3+ years building blockchain, Web3, or DeFi systems in production. - Deep hands-on experience with smart contract development (Solidity/EVM essential; Rust, Move, or Cairo a plus) and modern tooling (Foundry, Hardhat). - Strong backend engineering skills in at least two of : TypeScript/Node.js, Go, Rust, Java/Kotlin, or Python - with proven experience designing distributed systems at scale. - Experience with wallet infrastructure, key management (MPC/HSM), transaction signing, and chain indexing/data pipelines. - Solid understanding of DeFi primitives - AMMs, lending, staking, stablecoins, bridges, oracles - and how to integrate them safely. - Cloud-native engineering experience (AWS or Azure), Kubernetes, event streaming (Kafka or similar), and CI/CD at scale. - Strong security mindset : secure coding, contract audit readiness, and threat-aware design. - Track record of operating at Staff level - setting technical direction, leading through influence, and delivering complex systems across multiple teams. - Excellent communication skills; able to explain deep technical choices to product, risk, and executive stakeholders. Preferred Qualifications : - Experience in a crypto exchange, digital-asset custodian, Web3 protocol team, or blockchain-focused startup/accelerator environment. - Contributions to open-source Web3 projects, protocol design, or published technical work (audits, EIPs, research). - Prior experience in fintech or regulated financial services. - Familiarity with account abstraction, L2s/rollups, and cross-chain messaging.

Gurgaon/Gurugram

Delta6Labs - Staff/Lead Engineer - Blockchain & DeFi 

Company Description : We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description : Requirements : - Total Experience 4+ years. - Strong experience in enterprise application consulting with hands-on experience with Oracle CPQ Cloud. - Strong hands-on expertise in BML, BMQL, XSLT, and Oracle CPQ configuration modules. - Strong understanding of Quote-to-Cash (Q2C) processes, pricing models, commerce flows, and approval workflows. - Proven experience in Oracle CPQ integrations with CRM/ERP platforms such as Salesforce, Oracle Fusion, SAP, etc. - Strong understanding of REST/SOAP APIs and middleware-based integration patterns. - Experience with Oracle CPQ configuration, commerce processes, pricing logic, document generation, and customizations. - Experience in troubleshooting and optimizing BML scripts, BMQL queries, and XSLT-based document templates. - Experience supporting unit testing, UAT, production deployments, and release management. - Familiarity with version control, DevOps practices, and enterprise application deployment processes. - Excellent communication, presentation, analytical, and client-facing skills. - Ability to conduct workshops and collaborate effectively with technical and business stakeholders. - Ability to work collaboratively with cross-functional and global teams. - Oracle CPQ certification is an added advantage. Responsibilities : - Lead end-to-end Oracle CPQ Cloud integrations, implementations, including configuration, commerce flows, pricing, approvals, and document generation. - Translate business and functional requirements into scalable and high-quality Oracle CPQ technical solutions. - Configure and customize Oracle CPQ modules based on business and enterprise requirements. - Develop, optimize, and troubleshoot BML scripts, BMQL queries, and XSLT-based document templates. - Design, develop, and support robust integrations between Oracle CPQ and CRM/ERP platforms such as Salesforce, Oracle Fusion, SAP, and other enterprise applications. - Architect and implement integrations using REST/SOAP APIs and middleware-based integration solutions. - Conduct client workshops to understand business processes, gather detailed requirements, and define appropriate technical solutions. - Prepare and present solution designs, technical approaches, and integration architectures to business and technical stakeholders. - Support unit testing, system integration testing, UAT, production deployment, and post-production support. - Ensure adherence to version control, DevOps, release management, and enterprise development best practices. - Troubleshoot complex functional and technical issues and perform root cause analysis to implement sustainable solutions. - Ensure Oracle CPQ solutions align with enterprise architecture, business rules, security requirements, and integration standards. - Mentor and guide junior consultants and provide technical direction across implementation teams. - Contribute to internal knowledge-sharing initiatives, reusable assets, technical documentation, and best practices. - Collaborate with cross-functional, distributed, and global teams to ensure successful delivery of Oracle CPQ solutions. Qualifications : - Bachelor's or master's degree in computer science, Information Technology, or a related field.

Nagarro - Oracle CPQ Technical Consultant 

Hiring : Senior Network Engineer - Network Security / Palo Alto. We are looking for an experienced Senior Network Engineer with strong expertise in Network Security, Palo Alto Firewalls, Routing & Switching, and hands-on exposure to enterprise networking environments. The ideal candidate will have a strong understanding of network security architecture, traffic flow, segmentation, and troubleshooting, along with experience working across multi-vendor network environments. Key Skills & Proficiency : Primary Skills : - Palo Alto Firewall - Expert - Network Security - Expert - ACLs - Network Segmentation - Zone-based Architecture - Ingress / Egress Policies - Security Policies - NAT - VPN - Traffic Flow & Access Control - Routing & Switching - Expert - Enterprise Wi-Fi - Intermediate Secondary Skills : - Arista - Data Center Networking - Intermediate - SD-WAN (Aryaka / Generic) - Intermediate - Aruba - Wireless / NAC - Intermediate - Load Balancing / A10 Load Balancer - Exposure/Experience preferred Role & Responsibilities : As a Senior Network Engineer, you will be responsible for managing, troubleshooting, and optimizing network and security infrastructure across firewall, routing, switching, wireless, and SD-WAN environments. Key responsibilities include : - Design and implement network security controls, including zone-based architecture, ACLs, segmentation, VPNs, and ingress/egress traffic policies. - Manage and troubleshoot Palo Alto firewalls, including security policies, NAT configurations, VPNs, and traffic flows. - Perform advanced troubleshooting across routing and switching infrastructure to ensure network stability, availability, and performance. - Support enterprise Wi-Fi infrastructure and user access requirements. - Assist with SD-WAN operations, troubleshooting, and traffic optimization initiatives. - Perform root cause analysis (RCA) for complex network and security incidents. - Handle day-to-day network operations, incident management, and infrastructure changes. - Contribute to small and medium-scale projects, including network deployments, migrations, upgrades, and infrastructure enhancements. - Work across multi-vendor environments and collaborate with internal teams and stakeholders. - Ensure high availability, security, compliance, performance, and operational efficiency across the network environment. - Maintain technical documentation, network diagrams, configurations, and operational procedures. Role of the Resource : The resource will act as a Senior Network Engineer with a strong focus on Network Security and Core Networking. The role involves : - Managing day-to-day network and security operations. - Troubleshooting and resolving complex network issues. - Implementing and maintaining security policies and controls. - Supporting infrastructure changes and network improvements. - Working across multi-vendor networking environments. - Participating in project implementations, migrations, and technology enhancements. Role USP : This role offers an opportunity to work on a broad enterprise networking environment with a strong focus on Palo Alto Network Security and core networking. The ideal candidate will bring: - Strong hands-on expertise in Palo Alto Firewall and Network Security. - Deep understanding of zone-based design, traffic flow control, segmentation, ACLs, NAT, and VPNs. - Strong fundamentals in Routing & Switching. - Experience working in multi-vendor network environments. - Exposure to Arista, Aruba, SD-WAN, and A10 Load Balancing. - Strong troubleshooting and root cause analysis capabilities. - Ability to balance security, performance, scalability, and operational stability. - Ability to manage both BAU operations and small-scale network projects. Ideal Candidate : We are looking for someone who is technically strong, hands-on, analytical, and comfortable working on complex network and security issues in an enterprise environment. Core Expertise : Palo Alto | Network Security | Routing & Switching. Additional Skills : Arista | Aruba | SD-WAN | A10 Load Balancer | Enterprise Wi-Fi.

Brillio Technologies - Senior Technical Lead - Palo Alto Firewall 

Job Description : This role owns the technical vision and execution for applying AI at scale across DevOps and productization workflows, with a mandate to fundamentally improve how software and firmware are built, tested, released, and operated. The position sits at the intersection of AI systems, developer platforms, and operational excellence, driving the design and rollout of intelligent, automated pipelines that move beyond static CI/CD toward predictive, self-healing, and data-driven execution. The focus is on replacing high-cost manual processes with scalable AI-powered mechanisms, improving end-to-end quality and velocity, and enabling reliable delivery across large, multi-team engineering environments. Success in this role requires operating at platform and ecosystem scale, setting architectural direction, and ensuring AI-enabled systems are secure, observable, governable, and resilient in long-lived production environments. In This Role, Your Responsibilities Will Be : - Lead the design and delivery of AI-enabled solutions for building, test, and release workflows of software products using approved enterprise technologies and enterprise-ready solution patterns. - Identify engineering workflows that can be fully or partially offloaded to AI systems, reducing or eliminating repeated manual engineering effort. - Design and implement scalable AI-powered solutions in engineering workflows such as build and test triage, failure analysis, flaky test intelligence, debugging assistance, and release decision support. - Work hands-on with engineering teams to turn ideas into working solutions that can be rolled out in production. - Own key initiatives from concept and architecture through development, rollout, validation, adoption, and ongoing improvement. - Help define technical direction, propose practical architecture improvements, and influence how AI is introduced into critical engineering systems. - Develop tools, supporting systems, and infrastructure that improve engineering productivity and enable sustainable AI adoption. - Review technical designs and implementations, provide strong feedback, and mentor junior engineers. - Establish practical approaches for evaluation, telemetry, monitoring, observability, and continuous improvement of AI-enabled systems. - Design solutions that account for operational constraints such as rate limits, retry behavior, error handling, and production supportability. - Collaborate with internal teams, domain experts, and junior talent to build solutions that can scale across the organization. - Ensure all automation and intelligence align with Emerson's reliability, safety, and regulatory commitments. - Act as a key technical leader, shaping the long-term roadmap for AI driven DevOps transformation across TM. - Partner with engineering leaders, architects, and operational teams to drive adoption of intelligent automation and data driven decision-making. - Mentor teams on AI/ML fundamentals, emerging practices, and how to leverage automation to enhance product quality and operational performance. Who You Are : - You are an application-focused AI engineering leader who enjoys solving real workflow and engineering problems. - You are comfortable operating as both an architect and a builder. - You can take an ambiguous problem, create a practical solution approach, and drive it through execution. - You understand what it takes to deploy systems at an organizational scale, including rollout, adoption, governance, observability, and long-term maintainability. - You work well across teams, influence technical direction, and help raise the capability of the engineers around you. - You are self-driven, pragmatic, and able to make sound trade-offs in evolving situations. For This Role, You Will Need : - B.E / B.Tech / M.Tech / MCA in Computer Science / Electronics / Electrical / Instrumentation / Artificial Intelligence / Machine Learning / related technical discipline. - 8+ years of proven experience in software engineering, systems design, AI application engineering, or related technical roles. - Minimum 3+ years experience developing AI based applications. - Hands-on experience with retrieval-augmented generation architectures, workflow automation, evaluation methods, platform integration, agentic systems, cost-aware AI design, and operationalizing AI-enabled systems in production, including monitoring, observability, feedback loops, and lifecycle management. - Strong understanding of AI training fundamentals, including how models are developed, adapted, evaluated, and improved, even if your primary industry experience has been in building and deploying AI-enabled applications rather than training foundation models directly. - Strong experience building AI-enabled applications or workflow solutions in enterprise environments. - Strong understanding of DevOps and modern software delivery systems, including CI/CD pipelines, build and release workflows, automation, observability, and production operational considerations. - Proven experience designing, deploying, and operating systems or workflow solutions on an organizational scale, including rollout across multiple teams or large engineering groups. - Strong problem-solving ability, including diagnosing technical issues and proposing practical, high-quality solutions. - Good understanding of enterprise constraints such as governance, approved technologies, security, observability, and production-readiness. - Ability to work effectively with engineering teams that have deep domain expertise but limited AI maturity. Preferred Qualifications That Set You Apart : - Experience applying AI to build systems, test systems, CI/CD workflows, release engineering, software delivery, and engineering productivity workflows. - Experience with enterprise AI platforms, internal developer platforms, or similar shared engineering platforms used to operationalize AI solutions at scale. - Familiarity with Agile software development practices, CI pipelines, and workflow automation. - Understanding of NI software tools or related internal engineering ecosystems. - Exposure to fine-tuning, model adaptation, data preparation, evaluation pipelines, or other AI training-related workflows. - A strong track record of driving large, ambiguous technical initiatives to successful completion. - Ability to work effectively in a diverse, multi-cultural engineering environment and communicate well with both engineering teams and management. Why This Role Is Important : - This role is intended to bring external AI expertise into the organization and apply it in practical, high-value engineering workflows. - The focus is not on research alone, but on delivering enterprise-ready AI systems that save developer time, improve decision-making, and create reusable internal capability. - This is a Principal-level individual contributor role for someone who can influence architecture, build solutions hands-on, and help scale AI adoption responsibly. Our Culture Commitment to You : - At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. - We foster an environment that encourages innovation, collaboration, and diverse perspectives - because we know that great ideas come from great teams. - Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. - Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. - We believe diverse teams, working together are key to driving growth and delivering business results. Education : - UG : B.Tech / B.E in Any Specialization - PG : MCA in Computers, M.Tech in Any Specialization

Emerson - Principal Software Engineer - AI System 

About the Role : We're looking for a Senior AI Engineer to help build and scale dunnhumby's Enterprise AI Platform - designing, deploying, and operating production grade AI systems used across engineering teams. You'll work across the full AI lifecycle : model training and fine-tuning, agentic workflows, RAG, AI observability, and AI-powered user experiences, using the latest advancements in Generative AI. What You'll Do : - Build reusable, scalable AI services for prompt orchestration, model routing, embeddings, structured generation, and tool calling; develop configurable multi-provider AI runtimes and secure cloud-native microservices. - Design multi-agent and autonomous systems with reasoning, planning, memory, and tool execution; build graph-based, long-running workflows with human-in-the-loop checkpoints using MCP and A2A. - Build enterprise-grade RAG pipelines - ingestion, chunking, embeddings, hybrid search, reranking, citations - and continuously evaluate retrieval quality. - Train, fine tune (LoRA/QLoRA/PEFT), and evaluate ML/DL models; build training pipelines, run experimentation and hyperparameter optimization, and productionize models with data science partners. - Deploy, monitor, and continuously improve agents and models in production - experiment tracking, model registry, versioning/rollback, drift and cost monitoring, CI/CD, and canary/blue-green deployments. - Implement guardrails for hallucination, prompt injection, and PII; establish evaluation, monitoring, and responsible-AI compliance practices. - Build and deploy cloud-native AI services (Docker, Kubernetes, Terraform) on GCP and Azure with autoscaling, observability, and distributed tracing; own services from build through production support. - Build responsive React-based interfaces for chat, copilots, prompt playgrounds, and agent/evaluation dashboards, integrated via REST, SSE, and WebSockets. - Write clean, tested code; drive architecture reviews, code reviews, and mentor engineers. What You'll Bring : - Bachelor's/Master's in Computer Science, AI, Engineering, or related field. - 8+ years of software engineering experience, including 3+ years building production AI/ML applications. - Strong grounding in distributed systems, cloud-native architecture, and microservices. - Track record delivering enterprise-grade AI solutions from POC to production. Technical Skills : - Programming : Python (expert), TypeScript/JavaScript, SQL, async programming, REST & gRPC, design patterns - AI/ML Concepts : LLMs, prompt engineering, embeddings, RAG, hybrid search, agentic AI (tool/function calling, MCP, A2A), model training & fine-tuning (LoRA/QLoRA/PEFT), hyperparameter optimization, GPU optimization, quantization - AI Frameworks : LangChain, LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, DSPy, Pydantic AI - Cloud AI Platforms : Google Vertex AI, Azure AI Foundry, Azure OpenAI, Model Garden - ML & MLOps : PyTorch, TensorFlow, Hugging Face, MLflow, Kubeflow, model registry, experiment tracking, continuous training - AgentOps & Observability : LangSmith/Langfuse/Arize Phoenix, OpenTelemetry, Grafana, New Relic, agent evaluation, cost monitoring - Vector Databases : Pinecone/Weaviate/Milvus/pgvector/Vertex AI Vector Search/Azure AI Search - Cloud & DevOps : Docker, Kubernetes, Terraform, ArgoCD, GitHub Actions/Azure DevOps, CI/CD, IaC - Workflow Orchestration : Temporal/Argo Workflows/event-driven architecture/message queues

Dunnhumby - Senior AI Engineer 

Director, Expertise Centre - R&D Technologist (Clinical Data Solutions) The Director - R&D Technologist (Clinical Data Solutions) provides strategic and scientific leadership across clinical data management, analytics, biostatistics, statistical programming, and clinical data standards. This role is central to the R&D Technologist Expertise Centre and focuses on designing and delivering innovative clinical data solutions across the drug development lifecycle - with a strong emphasis on clinical data standards, transformation, and analytics-driven decision-making. What You'll Do : - Provide strategic leadership across clinical data management, biometrics, and advanced analytics for end-to-end drug development programs. - Serve as the go-to leader for clinical data solutions, bringing a strong techno-functional perspective across clinical data flow and systems. - Lead complex client engagements spanning clinical data strategy, analytics enablement, and digital R&D transformation. - Facilitate senior-level workshops to align stakeholders on study design, data standards, analytics approaches, and operating models. Clinical Data & Standards Leadership : - Bring deep expertise in clinical data standards (e.g., CDISC - CDASH, SDTM, ADaM, TLF). - Define innovative approaches to clinical data collection, transformation, and analytics. - Integrate clinical programming, analytics, and data science into trial design, execution, and regulatory workflows. - Drive adoption of standardized, scalable, and future-ready clinical data models. Technology & Innovation : - Apply a techno-functional lens across clinical systems, data platforms, and enterprise architectures. - Leverage AI/ML and GenAI approaches to transform clinical data processing and analytics. - Define future-state operating models and digital ecosystems for clinical data and analytics. Delivery Excellence & Governance : - Oversee quality, scientific rigor, and compliance of deliverables, including analytics, data models, and regulatory outputs. - Ensure alignment with GxP standards, regulatory expectations, and industry best practices. - Act as a bridge between scientific, business, and engineering teams. Team & Practice Building : - Lead and grow a high-performing clinical data and analytics team. - Mentor senior talent and establish standards for delivery excellence. - Contribute to capability building, accelerators, and new offerings within the Expertise Centre. - Support business development through solutioning, client pursuits, and long-term relationship building. What You'll Bring Experience & Domain Expertise : - 18+ years of experience in Life Sciences R&D, with strong expertise in clinical data management, biometrics, and analytics. - Deep understanding of the end-to-end drug development lifecycle. - Strong domain knowledge of clinical data, analytics, and digital R&D transformation. Clinical Systems & Platforms : - EDC Platforms : Medidata Rave, Veeva EDC, Oracle InForm. - Clinical Systems : ePRO, laboratory systems, CTMS, eTMF, CDMS. - Clinical Data Repositories : SAS LSAF, Oracle LSH, eClinical Elluminate. - Metadata Repositories : Nurocor, Sycamore, Formedix. - Statistical Computing : SAS, SAS Viya, Domino. Data Standards & Interoperability : - CDISC : CDASH, SDTM, ADaM, TLF. - Interoperability : FHIR, HL7, USDM. Technical & Analytical Skills : - Working knowledge of R, Python, and SAS for clinical data transformation and analysis. - Exposure to AI/ML and GenAI-based solutions in clinical data and analytics. - Strong capability in business process modeling, data flow modeling, and solution architecture design. Leadership & Consulting Skills : - Strong communication and stakeholder management skills with ability to influence senior leaders. - Proven experience in GxP-compliant, large-scale enterprise programs. - Ability to lead global, cross-functional, and multi-vendor teams. - Strong leadership, mentoring, and team-building capabilities. - Solid understanding of agile, product-led, and digital transformation delivery models.

Remote

Director - Clinical Data Solutions 

We are looking for an experienced AI Engineer with 5-7 years of hands-on experience in developing, implementing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, deep learning, NLP, Generative AI, and AI application development. The role involves working on end-to-end AI solutions, from understanding business requirements and preparing data to model development, evaluation, deployment, and optimization. Key Responsibilities Design, develop, and implement AI and machine learning solutions for business and product requirements. Develop and optimize machine learning and deep learning models. Work with structured and unstructured data for AI/ML applications. Develop AI-powered applications using Python and relevant ML/AI frameworks. Build and integrate Generative AI solutions, including LLM-based applications where applicable. Develop solutions using techniques such as NLP, text classification, information extraction, recommendation, and predictive modeling. Perform data preprocessing, feature engineering, model training, validation, and performance optimization. Evaluate models using appropriate performance metrics and continuously improve model accuracy and reliability. Develop APIs and services to integrate AI/ML models with enterprise applications. Collaborate with software engineers, data engineers, product teams, and business stakeholders. Deploy and monitor AI/ML models in development and production environments. Troubleshoot model, data, and application issues and implement appropriate solutions. Maintain technical documentation covering models, experiments, APIs, and deployment processes. Stay updated with emerging AI/ML technologies, frameworks, and industry practices. Required Technical Skills 5-7 years of experience in AI/ML or related software engineering roles. Strong programming experience in Python. Strong understanding of Machine Learning algorithms and concepts. Experience with supervised and unsupervised learning techniques. Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Good understanding of NLP and text-processing techniques. Experience with data preprocessing, feature engineering, model training, and evaluation. Experience working with ML libraries such as Scikit-learn, Pandas, and NumPy. Experience developing and integrating REST APIs for AI/ML solutions. Good understanding of software engineering principles and version control using Git. Generative AI - Good to Have Experience working with Large Language Models (LLMs). Understanding of Generative AI application development. Experience with prompt engineering and LLM integration. Knowledge of Retrieval-Augmented Generation (RAG) architectures. Exposure to vector databases and semantic search. Experience with frameworks such as LangChain or similar AI application frameworks. Understanding of model evaluation, monitoring, and responsible AI practices. Cloud & MLOps - Good to Have Exposure to AWS, Azure, or Google Cloud. Experience deploying models using cloud platforms. Understanding of Docker and containerization. Exposure to CI/CD and MLOps practices. Knowledge of model monitoring and production deployment. Key Competencies Strong analytical and problem-solving skills. Ability to translate business problems into practical AI solutions. Strong programming and debugging skills. Ability to work on end-to-end AI projects. Good communication and collaboration skills. Ability to work effectively with cross-functional teams - -

Mamaearth - AI Engineer - Machine Learning 

Role Overview : Looking for a Lead/Senior AI/ML Engineer with strong hands-on experience in production ML/Deep Learning systems, model optimization, deployment, and MLOps. The role will involve designing scalable AI solutions and providing technical leadership across AI/ML initiatives. Key Responsibilities : - Design, develop, and deploy production-grade ML, Deep Learning, and Reinforcement Learning solutions. - Work with PyTorch, TensorFlow, or JAX for model development and optimization. - Develop solutions using CNNs, Transformers, sequence models, and RL algorithms such as PPO, SAC, TD3, and CQL. - Optimize inference using TensorRT, ONNX, and Triton, balancing accuracy and latency. - Deploy and scale models using Docker, Kubernetes, AKS/ARO, and Azure ML. - Implement MLOps, CI/CD, model serving, monitoring, and lifecycle management. - Define AI/ML engineering standards and evaluation frameworks. - Mentor engineers and provide technical leadership. - Collaborate with stakeholders to deliver production AI solutions with measurable business impact. Required Skills : - 7+ years of ML/AI experience with production ML/DL systems. - Strong Python and hands-on expertise with PyTorch/TensorFlow/JAX. - Strong understanding of Deep Learning, Transformers, CNNs, sequence models, and/or RL. - Experience with model serving, inference optimization, Docker, Kubernetes, Azure ML, and MLOps. - Strong understanding of applied mathematics, probability, linear algebra, and optimization. - Proven technical leadership and mentoring experience.

GyanSys - Lead/Senior AI/ML Engineer - Deep Learning 

Job Description : Position : Forward Deployed Engineer/Practice Lead Location : Hyderabad, India Work Model : Fully Onsite 5 Days/Week Employment Type : Full-Time Experience : 12+ years Shift Timings : 6 PM to 3 AM IST Company Name : Zion Cloud Solutions Executive Leadership About the Role : Zion Cloud Solutions is building a dedicated Forward Deployed Engineering (FDE) team in Hyderabad, focused on solving complex customer problems using AI, data, and cloud technologies. We are seeking a business and technology leader to build and fully own this new organisation. The role will initially lead a team of 8 - 10 Forward Deployed Engineers and will own the P&L end-to-end, including hiring, training, customer relationships, technical direction, delivery, and growth. This is not a traditional engineering-management role. The successful candidate must combine commercial ownership, technical credibility, and customer-facing leadership. Business and P&L Ownership : - Own the FDE business unit's revenue, margins, utilisation, costs, headcount, and profitability. - Develop business plans, budgets, forecasts, pricing, and capacity plans. - Partner with US leadership on pipeline development, proposals, resource planning, and growth. - Ensure engagements are appropriately scoped, staffed, and commercially healthy. Team and Capability Building : - Recruit, train, and lead an initial team of 8 - 10 Forward Deployed Engineers. - Define the team structure, required skills, performance expectations, and career paths. - Establish an FDE operating model covering discovery, architecture, prototyping, deployment, productionization, and handoff. - Build a culture of ownership, speed, accountability, technical excellence, and customer focus. Customer and Delivery Leadership : - Work directly with customers to understand ambiguous business problems and translate them into practical technical solutions. - Lead strategic customer discussions, solutioning, estimates, proposals, and executive escalations. - Own delivery performance and ensure projects achieve measurable business and technical outcomes. - Identify opportunities to expand customer engagements and generate additional revenue. - Establish metrics for quality, utilisation, productivity, customer satisfaction, margins, and delivery timelines. Technical Leadership : - Provide direction across GCP, Gemini, Generative AI, Agentic AI, RAG, data platforms, cloud infrastructure, Kubernetes, security, and DevOps. - Review architectures and guide critical technical decisions. - Establish reusable frameworks, reference architectures, and delivery accelerators. - Ensure solutions are secure, scalable, reliable, maintainable, and commercially viable. Preferred Skills : - 12+ years of experience in technology consulting, enterprise software, AI, cloud, or digital transformation. - Experience building and scaling an engineering, consulting, or professional-services team. - Demonstrated P&L ownership, including revenue, margins, utilisation, and workforce planning. - Strong enterprise customer-facing, solutioning, and delivery-leadership experience. - Experience supporting pre-sales, pricing, proposals, estimates, and commercial discussions. - Strong understanding of cloud, data, AI, and modern software engineering. - Ability to lead teams in fast-moving environments with unclear or evolving customer requirements. - Experience working with distributed US and India teams. - Google Cloud and Generative AI experience is strongly preferred.

Forward Deployed Engineer/Practice Lead 

About the Role : We are looking for a Forward Deployed Engineer (FDE) - an engineer who builds production software fluently with AI coding agents and ships it where it matters. You don't just use AI to autocomplete; you architect, prompt, review, and ship by orchestrating tools like Claude Desktop / Claude Code or Codex Desktop as a core part of your workflow. You think in problems and outcomes, translate them into well-scoped prompts and specs, and rigorously verify what the agent produces. This is a hands-on engineering role. AI accelerates you, but you own correctness, architecture, security, and quality. What You'll Do : - Build, ship, and maintain features end-to-end using AI agentic coding tools (Claude Desktop, Claude Code, Codex Desktop, or similar) as a primary driver of development. - Decompose ambiguous requirements into clear specs, prompts, and acceptance criteria that an AI agent can execute against. - Review, debug, refactor, and harden AI-generated code - you are accountable for what gets merged, not the model. - Design clean architectures, data models, and APIs; make sound trade-off decisions on performance, scalability, and maintainability. - Write and maintain tests, validation layers, and guardrails so AI-assisted output is reliable and safe. - Collaborate with product, design, and other engineers to move quickly from idea to working artifact. - Continuously improve team workflows, prompt patterns, and tooling for AI-assisted development. Must-Have : Deep Expertise in One Stack : You must have genuine, production-level depth in at least one of these stacks (not surface familiarity across many) : - Flutter / React Native (cross-platform mobile) - .NET Core + MS SQL Server (PostgreSQL a plus) - Python + Node.js (PostgreSQL a plus) - Java + MySQL (PostgreSQL a plus) - Next.js / Angular (modern web front-end) Enterprise-Grade Engineering Foundations (Must-Have) : Beyond a single stack, building production enterprise applications demands working command of the following - these are non-negotiable : - Authentication & Authorization : OAuth 2.0 / OpenID Connect, SSO, JWT, and Role-Based / Row-Level Access Control (RBAC / RLS). - Security - secure coding (OWASP Top 10), data encryption in transit and at rest, secrets/key management, input validation, and audit logging. - Databases : relational schema design, indexing, transactions, query optimization, and connection pooling; caching layers (e.g. Redis). - API Design : REST / GraphQL, versioning, pagination, rate limiting, and clean contract-first interface design. - Architecture & Scalability : modular monolith or microservices, design patterns, statelessness, horizontal scaling, and high availability. - Asynchronous & Event-Driven Processing : message queues / brokers (Kafka, RabbitMQ, or equivalent) and background job handling. - CI/CD & DevOps - Git-based pipelines, automated builds, containerization (Docker), and orchestration (Kubernetes); Infrastructure-as-Code a plus. - Cloud Platforms - deploying and operating on Azure, AWS, or GCP. - Observability - structured logging, metrics, distributed tracing, and monitoring/alerting (e.g. ELK, Prometheus/Grafana, App Insights). - Testing & Quality : unit, integration, and end-to-end testing; code quality gates and static analysis. Required Qualifications : - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (Master's a plus). Equivalent demonstrable experience will be considered. - Minimum 8 - 10 years of hands-on software development experience, operating at a Principal / Software Architect level of seniority. - Principal-grade, in-depth technical mastery - able to reason from first principles across the full stack : system design, architecture, performance, concurrency, data modelling, and security. You set the technical bar, not just meet it. - Must have built and delivered at least one enterprise-grade application using Claude Desktop / Claude Code or Codex Desktop - end-to-end, in production or production-ready. - Deep, production-grade command of one of the five tech stacks above. - Strong fundamentals : data structures, algorithms, version control (Git), debugging, and code review discipline. - Solid grasp of databases, APIs (REST/GraphQL), and software architecture patterns. - Ability to read, understand, and critically evaluate code you didn't write line-by-line. - Clear written communication - you can specify, document, and explain your work. Nice to Have : - Experience with MCP (Model Context Protocol) servers, tool integrations, or building AI agents. - CI/CD, containerization (Docker), and cloud deployment (Azure / AWS / GCP). - Familiarity with prompt engineering and evaluating LLM outputs. - Open-source contributions or a portfolio of AI-assisted projects. What We Value : - Ownership over output - you treat AI as a powerful collaborator, never an excuse for bugs. - Speed with judgment - you ship fast but know when to slow down and verify. - Curiosity - you stay current as AI tooling evolves week to week. - Craftsmanship - clean, secure, maintainable code matters even when a machine wrote the first draft.

Q3 Technologies - Principal Software Engineer 

About Us : We are Wyre AI - B2B Startup focused on revolutionizing preconstruction workflows using AI. Our team is composed of visionaries, researchers, and engineers dedicated to pushing the boundaries of AI to develop transformative solutions. Founded by a repeat founder who had previously built Pype and exited successfully to Autodesk. We are committed to using technology and innovation to disrupt the status quo and create the future. About the Role : We're looking for a Senior AI Engineer - Research Scientist to help build and scale the intelligence layer behind Wyre AI's preconstruction platform. You'll work at the intersection of Generative AI, document intelligence, retrieval, multimodal AI, and agentic systems, transforming complex construction drawings, specifications, scopes, and project data into connected, actionable intelligence. This is a senior, hands-on role where you'll combine research and experimentation with strong production engineering discipline. You'll design and build production-grade LLM, RAG, multimodal, and agentic AI systems, explore advanced approaches such as GraphRAG, knowledge graphs, model fine-tuning, and intelligent retrieval, and take AI capabilities from early experimentation through scalable production deployment. Key Responsibilities : - Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI. - Work on functional design, process design, prototyping, testing, training, and defining support procedures in collaboration with the engineering team. - Articulate and document solution architecture and lessons learned for each exploration and accelerated incubation. - Serve as a liaison between stakeholders, delivering feedback and enabling team members to make necessary changes in product performance or presentation. - Build production-grade LLM, RAG, multimodal, and agentic AI systems. - Research and experiment with new models, architectures, retrieval techniques, and AI frameworks. - Fine-tune and adapt foundation models using SFT, LoRA/PEFT, instruction tuning, and domain-specific datasets. - Develop hybrid retrieval, reranking, GraphRAG, and knowledge graph-based reasoning. - Build construction ontologies and extract entities, relationships, and dependencies from complex project data. - Develop multimodal pipelines for drawings, specifications, schedules, tables, callouts, and technical documents. - Build intelligent agents using tool calling, MCP, orchestration, and structured reasoning. - Design robust evaluation frameworks for retrieval, extraction, hallucination, groundedness, and model quality. - Experiment with prompting, embeddings, chunking, rerankers, model selection, and inference strategies. - Improve AI system accuracy, latency, reliability, scalability, and cost. - Take AI capabilities from research and prototype evaluation through production. Required Skills : - 10+ years of software, ML, or AI engineering experience. - Strong Python and software engineering fundamentals. - Hands-on experience building production GenAI - LLM applications. - Strong understanding of RAG, embeddings, vector search, hybrid search, and reranking. - Experience with model fine-tuning, evaluation, and experimentation. - Experience with LLM APIs and open-source models. - Strong understanding of machine learning and deep learning fundamentals. - Experience with backend systems, APIs, SQL, and data pipelines. - Experience deploying AI systems on AWS or another major cloud. - Ability to independently solve ambiguous, research-heavy AI problems. Strong Plus : - Knowledge graphs, ontologies, or GraphRAG. - Multimodal AI and computer vision. - OCR and document intelligence. - Agentic AI and MCP. - Text-to-SQL. - PyTorch, Hugging Face, PEFT/LoRA. - OpenSearch - Elasticsearch. - AWS, GCP, or Azure cloud services. - Construction, BIM, estimating, or preconstruction experience. Why Join Wyre AI?: - Shape the future of construction technology through Generative AI and intelligent automation. - Build and scale production-grade LLM, RAG, multimodal, and agentic AI systems. - Work on complex AI challenges involving construction drawings, specifications, schedules, and technical documents. - Explore and apply advanced techniques such as GraphRAG, knowledge graphs, model fine-tuning, retrieval, and structured reasoning. - Take AI capabilities from research and experimentation through production deployment. - Influence the architecture and technical direction of AI systems at an early-stage company. - Work closely with founders, engineering, and product teams on high-impact AI initiatives. - Collaborate with experts across AI, construction, and cloud-native technology. - Grow with a fast-scaling AI company while helping shape its AI engineering foundation. How to Apply: Excited to build the future of AI-powered construction technology? Just fill out this quick form (https://forms.gle/T93F8BzrNzbEdSRj7) to tell us about your experience and skills.

Senior AI Engineer/Research Scientist - Generative AI 

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