Integra Software Services Reviews by Employees

Quality Controller

Technical Editor

Project Management Executive

Project Manager

Data Conversion Analyst

Graphic Artist

Graphic Designer

Senior Quality Controller

Peer Review Associate

Senior Project Manager

Senior Technical Editor

Programmer

Senior Copy Editor

Copy Editor

Software Developer

XML Specialist

QA Engineer

Team Lead

Senior Executive

Quality Control Trainee

Assistant Manager

Research Trainee

Senior Compositor

3B2 Programmer

Executive Paginator

QC Trainee

Data Conversion Associate

Instructional Designer

Assessment Manager

Template Developer

XML Operator

We are looking for a skilled Full Stack Developer (2-3 Years Experience) with strong expertise in React.js and Python, and hands-on experience working with Large Language Models (LLMs) or Small Language Models (SLMs). The role requires leveraging AI-powered IDEs and AI models to build intelligent, scalable, and efficient web applications. You will work closely with product managers, designers, and backend engineers to deliver end-to-end solutions while leveraging AI-assisted development tools to improve productivity and code quality. Key Responsibilities : - Design, develop, and maintain full-stack web applications using React.js and Python. - Build reusable, modular, and scalable frontend components using modern React practices. - Develop backend services, REST APIs, and business logic using Python frameworks. - Integrate frontend applications with backend APIs and databases. - Work with MySQL or PostgreSQL to design schemas, write optimized queries, and ensure data integrity. - Utilize AI-powered IDEs such as Cursor AI, Antigravity AI IDE, or Windsurf AI IDE for faster and smarter development. - Collaborate with cross-functional teams to translate requirements into technical solutions. - Ensure application performance, security, scalability, and maintainability. - Write clean, well-documented, and testable code. - Participate in code reviews and follow best coding practices. Required Skills : - 2- 3 years of hands-on experience as a Full Stack Developer. - Strong expertise in React.js. - Strong backend development experience with Python. - Working experience with Large Language Models (LLMs) or Small Language Models (SLMs). - Experience integrating AI/LLM APIs (e.g., OpenAI, Azure OpenAI, open-source models). - Knowledge of prompt engineering and AI workflow integration. - Hands-on experience using AI-assisted IDEs (any one) : 1. Cursor AI IDE 2. Antigravity AI IDE 3. Windsurf AI IDE - Experience with MySQL or PostgreSQL. - Familiarity with RESTful APIs and JSON-based integrations.

Chennai

Xerago - Full Stack Developer - Python/React.js 

We are looking for an Technical Product Analyst who sits at the intersection of business thinking, technical depth, and AI-driven product development. This role focuses on deeply analyzing product ideas from leadership, converting them into clear, build-ready Product Requirement Documents (PRDs) and Technical Architecture Documents (TADs), and ensuring that even junior developers can execute them confidently. This role is research-heavy, thinking-intensive, and requires strong curiosity, structured reasoning, and comfort working with AI-assisted workflows. Key Responsibilities : - Analyze product ideas, concept notes, and documents shared by leadership (CEO, COO) from both business and technical perspectives - Critically review and constructively challenge product ideas, assumptions, workflows, and feasibility - Iterate with stakeholders to refine ideas into market-ready product concepts - Create clear and well-structured Product Requirement Documents (PRDs) using AI-assisted tools - Design Technical Architecture Documents (TADs) that clearly explain system logic, workflows, integrations, and constraints - Build detailed Work Breakdown Structures (WBS) and granular task-level implementation plans - Ensure PRDs, TADs, and WBS are structured in a way that junior developers can easily understand and build from - Generate UX wireframes and user flows using AI tools based on PRD requirements - Collaborate with engineering, design, product, and business stakeholders to gather inputs and align requirements - Support post-build phases by creating product support portal content, including: - Implementation guides - Security and compliance documentation - Audit and governance-related content - Contribute to product websites, brochures, and marketing collateral by translating technical capabilities into clear business value - Continuously research emerging technologies, AI capabilities, tools, and market trends relevant to product development Required Skills & Knowledge - Strong understanding of product thinking, problem framing, and requirement structuring - Familiarity with PRDs, TADs, and software architecture concepts - Working knowledge of: - Git and version control - Python, AI/ML libraries,Models and frameworks knowledge. - BMad Method framework familiarity for PRD and TAD generation. - Frontend technologies (HTML, CSS, JavaScript - conceptual understanding is sufficient) - AI, Machine Learning, and Data Science fundamentals - Familiarity with Cursor/AntiGravity IDEs, chatGPT, and ClaudeAI. - Experience using or experimenting with AI tools for analysis, documentation, and design and clear Prompting skill. - Ability to read, understand, and critique technical and product documents - Clear written communication skills with attention to detail, structure and clarity and ability to communicate ideas, product details to developers and stakeholders. Desired Traits - High level of interest, energy and curiosity. - Strong research mindset with the ability to go deep into unfamiliar domains - Logical, structured, and analytical thinking with excellent communication skills. - Comfortable questioning assumptions and suggesting improvements respectfully - Ability to balance business feasibility and technical reality - Dynamic, adaptable, and eager to learn emerging tools and technologies Experience & Education - Up to 1 year of relevant experience in product, technology, or AI-related roles - Background in engineering, computer science, data science, or related fields(BTech/MTech/MBA in Product with Technical background/Master's in Datascience/Computer Science) is preferred but not mandatory if skills are demonstrated.

Xerago - Technical Product Analyst 

About the Role : We are hiring an Engineering Productivity Specialist (Troubleshooter) whose mission is to ensure high clarity, zero blockers, and consistent daily velocity across our AI engineering teams. You are not involved in writing PRDs, breaking tasks, or deciding architecture. Your role begins after development starts. Whenever an AI Engineer hits a blocker, logic confusion, implementation difficulty, PRD misinterpretation, code errors, environment issues, you step in immediately with rapid diagnosis and an LLM-powered solution. Your job is to ensure engineers never get stuck, maintain full clarity, and continue executing exactly as per the plan. In simple words: You keep the engineering engine running at full speed, every day. What You Will Do : - Own the daily engineering velocity by ensuring every developer moves without blockers, confusion, or delays. - Continuously monitor progress and intervene the moment a slowdown, doubt, or issue appears. - Diagnose problems instantly using Cursor, LLM reasoning frameworks, and our internal Troubleshooting Playbook. - Provide fast, precise solutions whether its logic correction, implementation guidance, code-level debugging, or alternative approaches. - Maintain absolute clarity across engineering by eliminating misunderstandings, misinterpretations, and incorrect assumptions. - Apply our Cursor-First Zero-Blocker Method to resolve PRD logic gaps, workflow issues, and technical blockers. - Track and escalate dependencies with urgency, ensuring access, environment, or configuration issues are closed within SLA. - Enforce predictable daily output by keeping every engineer aligned, unblocked, and progressing according to plan. - Act as the velocity guardian of the Pod ensuring fast decision-making, smooth execution, and consistent delivery momentum. What Were Looking For : - 3 to 5 years of experience in software engineering / solution engineering / technical problem-solving roles. - Strong ability to understand logic, architecture, and workflows quickly. - Excellent at debugging, reasoning, and breaking down complex problems. - Hands-on experience using LLM tools (ChatGPT, Cursor, Claude, etc.) as a force-multiplier for rapid problem resolution. - Ability to communicate clearly and simplify complex concepts for engineers. - A mindset trained for high-velocity engineering urgency, precision, and no tolerance for delay or ambiguity. - High integrity, disciplined work ethic, and strong accountability someone who owns outcomes, not just tasks. - A natural problem-solver who enjoys unblocking teams, restoring flow, and maintaining execution speed. Who Should Apply : Apply if you are someone who : - Loves solving technical problems fast using reasoning + AI assistance. - Enjoys unblocking others and being the person everyone comes to for solutions. - Thrives in high-speed engineering environments. - Wants to play a critical role in ensuring delivery excellence. - Believes productivity is a skill and velocity is a responsibility. - Wants to be part of a team building world-class AI products

Xerago - AI Engineer - LLM Solutions 

We are seeking a passionate and skilled CMS Developer with 1-2 years of hands-on experience in web development and content management systems such as Adobe Experience Manager (AEM) or Drupal. The ideal candidate will have a strong foundation in HTML, CSS, JavaScript, JSON, and database concepts (SQL/NoSQL), along with exposure to RESTful APIs and web services. Experience in UI development and React JS is a plus. You will collaborate with senior developers and digital specialists to build scalable websites, customize components, integrate APIs, and leverage AI-powered tools to enhance productivity and content workflows. The role requires a solid understanding of CMS development and an eagerness to contribute to large-scale digital transformation projects. Key Responsibilities : - Develop and maintain websites using CMS platforms (AEM/Drupal). - Build custom templates, components, and workflows aligned with best practices. - Write clean, structured, and reusable code in HTML, CSS, JavaScript. - Work with JSON data, RESTful APIs, and web services for integrations. - Support content authoring teams by configuring and troubleshooting CMS features. - Utilize AI-powered developer tools (e.g., Cursor, Copilot, ChatGPT, etc.) to improve efficiency. - Ensure websites are responsive, accessible, and cross-browser compatible. Required Skills : - Strong experience with HTML, CSS, JavaScript, and JSON. - Understanding of database concepts (SQL/NoSQL). - Experience with RESTful APIs and web integration. - Exposure to AI/ML-powered tools (AI coding assistants, content optimization). - Hands-on experience in AEM or Drupal, or similar CMS platforms. - Excellent analytical, communication, and problem-solving skills

Xerago - CMS Developer - AEM/Drupal 

Job Description : We are seeking a Senior AEM Back-End Developer who can own end-to-end AEM backend delivery across AEM Sites and Edge Delivery Services (EDS). This role involves backend engineering, architectural input, SOW and estimation support, client pitching, and solutioning responsibility for AEM-based enterprise websites. Key Responsibilities : - Own backend delivery across AEM Sites + EDS hybrid projects. - Build Sling Models, Servlets, OSGi Services, Workflows, and integrations. - Participate in SOW creation, technical estimations, and client proposals. - Actively participate in client-facing discussions, pitches, and demos. - Develop REST, SOAP, GraphQL integrations with CRM, PIM, and enterprise systems. - Optimize JCR queries, Oak indexing, and dispatcher caching. - Ensure security best practices (ACL, SSO, CORS, CSRF, secure APIs). - Collaborate with architects, frontend engineers, DevOps, and QA. - Troubleshoot production issues (workflows, dispatcher, API failures). - Maintain documentation and mentor junior developers. Required Skills & Qualifications : - 4-8+ years of hands-on AEM backend development experience. - Strong in Java, Sling Models, OSGi, Servlets, JCR, Oak. - Experience with AEM 6.x & AEMaaCS. - Working knowledge of Edge Delivery Services (EDS). - Strong understanding of AEM architecture, dispatcher, indexing, workflows. - Experience with SOW, estimation, and client-facing technical roles. - Experience integrating REST/SOAP/GraphQL APIs. - Familiarity with CI/CD pipelines (Cloud Manager/Jenkins). - Strong problem-solving, debugging, and communication skills.

Xerago - AEM Developer - Backend Architecture 

Description : We are seeking an experienced Sitefinity Developer with 3- 6 years of hands-on experience in managing and enhancing enterprise websites using Sitefinity CMS. The role involves end-to-end content management, CMS operations, workflow execution, SEO hygiene, performance optimization, and coordination with cross-functional teams to ensure seamless deployments with zero post-live defects. Key Responsibilities : Sitefinity CMS Development & Content Management : - Manage regular content updates in Sitefinity CMS, including page creation and edits, template usage, asset uploads (PDFs, images, banners), and shared content blocks. - Perform basic HTML, CSS, JavaScript, and XML updates to support UI and functional requirements. - Ensure content accuracy, consistency, and adherence to brand and compliance guidelines. Deployment & Sync Management : - Execute the complete Unidesk ? UAT & CUG ? IT/Business approval ? Live sync workflow. - Prepare and maintain sync lists, follow defined sync schedules, and ensure makerchecker compliance. - Coordinate approvals and deployments with DBAT, IT, and Business stakeholders. - Perform DR/PR validation post-deployment to ensure business continuity. SEO, Performance & Quality Assurance : - Maintain SEO hygiene including metadata, tagging, URL structures, and internal linking. - Conduct regular link checks to avoid 404 errors and broken references. - Optimize images and assets for performance and faster page load times. - Ensure all checklist parameters are met before UAT, CUG, and Live releases. - Issue Management & Coordination - Identify and escalate CMS, backend, or UI issues to respective Idealake / IT / UI leads. - Proactively communicate release status, risks, and issues with the Website and Business teams. - Support root cause analysis and resolution of post-deployment issues, ensuring zero defects post go-live. Required Skills & Experience : - 3- 6 years of hands-on experience working with Sitefinity CMS. - Strong fundamentals in HTML, CSS, JavaScript, and basic XML. - Good understanding of SEO best practices, web accessibility, and performance optimization. - Experience with FTP uploads, asset management, and CMS-driven websites. - Familiarity with Unidesk workflow, content sync processes, and DR/PR validation. - Strong attention to detail, process-oriented mindset, and ability to manage multiple tasks under tight timelines. - Excellent communication and coordination skills for working with cross-functional teams.

Mumbai

Xerago - Sitefinity Developer 

Xerago is looking for AI Engineer with 1+ years of experience to join our growing AI Engineering team. You will play a key role in developing end-to-end AI-powered applications leveraging LLMs, agentic AI frameworks, and orchestration pipelines. This is an onsite role based in Chennai, ideal for engineers passionate about building real-world AI systems that deliver business value. Roles & Responsibilities : - Design, develop, and deploy AI-powered applications using LLMs, LangChain, and CrewAI. - Build and orchestrate agentic workflows and RAG pipelines integrated with vector databases. - Implement LLMOps practices to monitor, version, evaluate, and retrain LLM components in production. - Integrate AI models (proprietary and open-source) into backend services and APIs with life-cycle management. - Deploy AI components via containerized environments with CI/CD (Docker, Jenkins). - Collaborate with cross-functional teams to ensure seamless front-end integration. - Follow Agile development practices and mentor junior engineers where needed. Qualifications : - 1+ years of hands-on experience in AI/ML engineering and Python development. - Proven experience in operationalizing LLMs including fine-tuning, evaluation, deployment, and monitoring. - Familiarity with LLMOps platforms (e.g., MLflow, Weights & Biases, PromptLayer, Trulens) for versioning, logging, and performance tracking. - Strong understanding of LLM integration, vector DBs, and agentic frameworks like CrewAI, LangGraph, Autogen and smolagents. - Experience deploying AI APIs and pipelines with Docker and Jenkins. - Familiarity with Git, Agile methodologies, and modern frontend tech (React/Angular). - Bachelor's in Computer Science or related field (Master's preferred). Tech Stack & Tooling : - Languages & Frameworks: Python, LangChain, CrewAI, React, Angular - LLMs & Tools: OpenAI, Gemini, HuggingFace, Ollama - RAG & Embedding: SentenceTransformers, BGE, E5, LlamaIndex, Haystack - Vector Databases: FAISS, Pinecone, Weaviate, Chroma - LLMOps & MLOps: MLflow, PromptLayer, Trulens, Weights & Biases, LangSmith - Containerization & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions - Cloud & Observability: AWS/GCP/Azure, Prometheus, Grafana, Sentry - Practices: Agile, Prompt Engineering, Role-based access control, Content Filtering

Xerago - AI Engineer - LLM/LangChain 

Description : We are looking for an AEM Back-End Developer with 23 years of hands-on experience to support the development and maintenance of AEM-based enterprise websites. The role focuses on backend AEM development across AEM Sites and exposure to Edge Delivery Services (EDS), working closely with senior developers, architects, and frontend teams. This position is ideal for a developer who has a solid foundation in AEM backend concepts and is eager to grow into solution design, integrations, and enterprise-scale delivery. Key Responsibilities : - Develop and maintain backend components for AEM Sites projects, with exposure to EDS-based implementations. - Build and enhance Sling Models, Servlets, OSGi Services, and Workflows under guidance from senior team members. - Support backend integrations using REST/SOAP/GraphQL APIs with enterprise systems (CRM, PIM, etc.). - Assist in optimizing JCR queries, Oak indexing, and dispatcher configurations. - Follow AEM security best practices including ACLs, secure APIs, CORS, and CSRF handling. - Collaborate with frontend developers, architects, DevOps, and QA teams during implementation and testing. - Support troubleshooting of lower and higher environment issues related to workflows, APIs, and dispatcher. - Participate in code reviews, documentation, and knowledge-sharing sessions. - Assist senior team members in estimations, technical discussions, and internal solutioning activities. Required Skills & Qualifications : - 2 - 3 years of hands-on experience in AEM backend development. - Strong foundation in Java, Sling Models, OSGi, Servlets. - Experience working with AEM 6.x or AEM as a Cloud Service (AEMaaCS). - Basic to intermediate understanding of JCR, Oak repository, and indexing concepts. - Experience consuming or building REST APIs (SOAP/GraphQL is a plus). - Familiarity with AEM Dispatcher and caching concepts. - Exposure to CI/CD pipelines (Cloud Manager, Jenkins, or similar). - Good debugging, problem-solving, and communication skills. - Willingness to learn and grow in client-facing and solutioning responsibilities.

Description : We are looking for a passionate AI Engineer to design, build, and deploy data-driven AI solutions leveraging the latest in LLMs (Large Language Models) and Generative AI technologies. The ideal candidate will have a solid foundation in data engineering, hands-on experience with AI/ML models, and a keen interest in building intelligent systems that create real-world impact. Key Responsibilities : 1. Generative AI Development : - Build and fine-tune Generative AI models (LLMs, diffusion models, transformers, etc.) for tasks such as text generation, summarization, image generation, code assistance, or chatbot applications. - Integrate LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, or Hugging Face models) into business workflows. - Design prompt engineering and context management strategies to optimize model outputs. - Contribute to Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector database integrations (e.g., FAISS, Pinecone, Chroma). - Collaborate with data scientists and product teams to prototype and deploy GenAI-powered features. 2. Data Engineering & Infrastructure : - Design and maintain data pipelines that support training, fine-tuning, and inference workloads. - Handle large-scale unstructured data (text, audio, image, or code) efficiently. - Ensure data quality, lineage, and governance using modern data engineering tools. - Work with cloud environments (AWS, GCP, or Azure) to build scalable AI systems. - Implement ETL/ELT workflows using tools like Airflow, Prefect, or DBT. 3. MLOps & Deployment : - Deploy and monitor GenAI models using Docker, Kubernetes, or cloud-based ML services. - Build automated pipelines for model training, testing, and deployment. - Track experiments, data versions, and model performance with MLflow, DVC, or Weights & Biases. - Ensure security, compliance, and ethical AI practices in all deployments. Required Skills & Qualifications : - Bachelors or Masters degree in Computer Science, Data Engineering, AI/ML, or related field. - 2 - 4 years of experience in data engineering, AI/ML, or GenAI development. - Strong programming skills in Python (knowledge of Pandas, NumPy, PyTorch, or TensorFlow). - Familiarity with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and prompt design. - Experience with SQL, data warehousing, and data pipeline tools. - Working knowledge of Git, REST APIs, Docker, and cloud-based data workflows. - Excellent problem-solving skills and curiosity about new AI technologies.

Xerago - Artificial Intelligence Engineer - Data Modeling 

Description : We are seeking a Python Developer with 2 years of experience to join our algorithmic trading and investing firm. This role involves designing, developing, and deploying automated trading systems, backtesting strategies, and building robust data pipelines. The ideal candidate has strong Python and database skills, a solid understanding of AI/ML fundamentals, and the ability to translate quantitative strategies into production-ready code. You'll work directly with quants and analysts to implement trading strategies, optimize backtesting frameworks, and automate critical workflows in a fast-paced trading environment. Key Responsibilities : - Write clean, efficient Python code for algorithmic trading strategies, including implementation of technical indicators, statistical models, and price action-based systems. - Build and maintain backtesting frameworks to evaluate trading strategies across historical data with accurate simulation of market conditions. - Develop automation pipelines for data ingestion, strategy execution, and performance monitoring in live and simulated trading environments. - Integrate APIs from brokers, market data providers, and third-party services for real-time data feeds and order execution. - Design and optimize SQL and NoSQL databases for storing market data, trade logs, and performance metrics. - Implement data scraping and ETL pipelines to collect and process financial data from multiple sources. - Monitor and debug live trading systems to ensure reliability, low latency, and accuracy under production conditions. - Collaborate with the team to gather requirements, conduct code reviews, and follow version control best practices using Git. - Apply AI/ML techniques such as regression, classification, time-series forecasting, or clustering to enhance trading models. Required Skills : - 2 years of professional experience in Python development, preferably in fintech, trading, or quantitative analysis domains. - Strong proficiency in Python, including libraries like Pandas, NumPy, and experience with scripting, automation, and data manipulation. - Solid knowledge of SQL for writing complex queries, joins, aggregations, and database schema design. - Understanding of database fundamentals including normalization, indexing, and query optimization. - Basic understanding of AI/ML concepts such as supervised/unsupervised learning, regression, classification, or time-series analysis. - Experience with API integration and working with RESTful services or WebSocket connections. - Strong problem-solving and debugging skills with the ability to optimize code for performance. - Ability to work independently and collaboratively in a fast-paced, dynamic environment. - Excellent communication skills for technical discussions and documentation. - Familiarity with version control systems like Git.

Xerago - Python Developer 

Apply to 10 company jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in company Now! 

company Careers, 10 company Jobs, May 2026  | hirist.tech

Jobs by location

Integra-software-services Jobs

Explore Jobs based in trending companies