Infi Technologies Reviews by Employees

Description : Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. Trademo analyzes and performs advanced data processing on billions of data points (50Tb+) using technologies like Graph Databases, Vector Databases, ElasticSearch, MongoDB, NLP and Machine Learning (LLMs) to build end-to-end visibility on Global Supply Chains. Trademos vision is to build a single truth on global supply chains to different stakeholders in global supply chains discover new commerce opportunities, ensure compliance with trade regulations, and automation for border security. Trademo stands out as one of the rarest Indian SaaS startups to secure 12.5 mn in seed funding. Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group). What will you be doing here? - Lead, mentor, and grow a high-performing team of software engineers. - Oversee the execution of engineering projects from planning to delivery, ensuring timelines, quality, and budget goals are met. - Drive engineering best practices, architecture decisions, and code quality standards. - Work closely with Product, Design, QA, and other stakeholders to align technical execution with business goals. - Conduct regular 1:1s, performance reviews, and provide constructive feedback and career development support. - Participate in hiring processes to attract and retain top engineering talent. - Stay current with industry trends and advocate for the adoption of new tools and technologies that improve team productivity and code quality. Requirement : - 9+ years of backend software development experience. - B.tech in computer science or a related field. - 2+ years of people management or technical leadership experience. - Hands-on experience deploying and managing applications in AWS. - Solid experience in Data Structures and Algorithms, demonstrated using one or more programming languages including Java, Python, Node.js, or similar. - Proven success managing projects in an agile environment. - Strong communication, leadership, and team-building skills. - Ability to thrive in a fast-paced, collaborative startup or scale-up environment. Desired Profile : Trademo is driven by a compelling vision and a decent track record of success, setting the stage for growth in the coming years. To support our ambitious objectives, we are on the lookout for a passionate and innovative young leader who can take the reins of our engineering team. What we offer : At Trademo, we want our employees to be comfortable with their benefits so they focus on doing the work they love. - Parental leave Maternity and Paternity. - Health Insurance. - Flexible Time Offs. - Stock Options.

Gurgaon/Gurugram

Trademo - Engineering Manager - Backend Development 

What will you be doing here ? : - Design, implement, and maintain scalable features across the stack using Django/Python (backend). - Build, deploy, and monitor services on Azure, GCP, and IBM Cloud, with an emphasis on scalability, performance, and security. - Design data models and write efficient queries using PostgreSQL, MongoDB, and SQL, ensure data integrity and performance. - Build and maintain RESTful APIs and internal services to support platform integrations and data workflows. - Contribute to CI/CD pipelines, infrastructure-as-code, and monitoring solutions for seamless deployment and observability. - Debug complex issues and optimize backend logic for better user experience and system reliability. - Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirement : - B-Tech/M-Tech in Computer Science from Tier 1/2 Colleges. - Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, etc. - 2-4 years of hands-on experience in software engineering, preferably in product-based or SaaS companies. - Deep experience with Python and Django for backend development. - Solid understanding of SQL, PostgreSQL, and MongoDB including query optimization and schema design. - Sound understanding of RESTful APIs, microservices, containerization (Docker), and version control (Git). - Familiarity with CI/CD practices, testing frameworks, and agile methodologies. Desired Profile : - A hard-working, humble disposition. - Desire to make a strong impact on the lives of millions through your work. - Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. - A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision

Trademo - Software Development Engineer II - Django/PostgreSQL 

Description : About Trademo. At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence. Our AI-Enhanced Solutions : - Trademo Intel AI-powered trade intelligence to uncover market trends and competitive insights. - Trademo Sanctions Screener AI-driven compliance with 650+ global sanctions and PEP lists. - Trademo Global Trade Compliance Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing. - Trademo Map AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks. - Trademo TradeScreen AI-powered trade transaction digitization, financial crime screening and compliance platform. Key Responsibilities : - Oversee and contribute to the design and development of scalable systems for ETL/ELT, batch processing, and real-time streaming. - Work closely with cloud/DevOps teams to optimize AWS infrastructure, deployment pipelines, and cost efficiency. - Build robust pipelines for data ingestion, transformation, modeling, quality checks, and lineage tracking. - Lead, mentor, and grow a team of data engineers, drive a culture of ownership, technical excellence, and collaboration. - Act as the technical backbone of the data engineering team-actively contribute to architecture, design, and complex engineering tasks. - Solve high-impact technical problems related to scalability, reliability, and data quality. - Participate in writing/reviewing code when needed, especially for critical components or new system foundations. - Contribute to long-term data platform vision and drive continuous improvement. Desired Profile : - Bachelors degree in Computer Science, Engineering, Information Technology, or equivalent is required. - 9-12 years of overall experience in software/data engineering. - At least 2 years of experience in technical leadership or engineering management roles. - Strong expertise in data engineering, distributed systems, or backend platform development. - Familiarity with Spark, Apache Kafka/MSK, Airflow, Kubernetes. - Exposure to ML pipelines, analytics engineering, or data governance frameworks.

Trademo - Data Engineer - Apache Spark 

About Trademo : At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence. Our AI-Enhanced Solutions : - Trademo Intel AI-powered trade intelligence to uncover market trends and competitive insights. - Trademo Sanctions Screener AI-driven compliance with 650+ global sanctions and PEP lists. - Trademo Global Trade Compliance Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing. - Trademo Map AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks. - Trademo TradeScreen AI-powered trade transaction digitization, financial crime screening and compliance platform. Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import/Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information. Key Responsibilities : - Development and deployment of ML and GenAI-powered features across the product. - Architect and implement scalable ML pipelines and GenAI integrations. - Work closely with product, design, and engineering teams to translate business problems into data/ML solutions. - Own model training, validation, and deployment pipelines. - Mentor a junior team of junior AI engineers and researchers. - Stay updated with the latest in GenAI and ML research, and drive adoption of relevant innovations. Requirements : - 2- 4 years of experience in ML/Data Science, with at least 1+ year working on GenAI. - Strong hands-on experience with LLMs. - Solid experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc.) - Deep understanding of NLP, transformers, and deep learning fundamentals. - Proven ability to lead end-to-end ML/AI feature development in a startup or product environment. - Strong communication and cross-functional collaboration skills.

Trademo - Senior AI Engineer 

About Trademo : Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms. Trademo analyzes and performs advanced data processing on billions of data points (50Tb+) using technologies like Graph Databases, Vector Databases, ElasticSearch, MongoDB, NLP and Machine Learning (LLMs) to build end-to-end visibility on Global Supply Chains. Trademos vision is to build a single truth on global supply chains to different stakeholders in global supply chains discover new commerce opportunities, ensure compliance with trade regulations, and automation for border security. Trademo stands out as one of the rarest Indian SaaS startups to secure 12.5 mn in seed funding. Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group). What will you be doing here? - Lead, mentor, and grow a high-performing team of software engineers. - Oversee the execution of engineering projects from planning to delivery, ensuring timelines, quality, and budget goals are met. - Drive engineering best practices, architecture decisions, and code quality standards. - Work closely with Product, Design, QA, and other stakeholders to align technical execution with business goals. - Conduct regular 1:1s, performance reviews, and provide constructive feedback and career development support. - Participate in hiring processes to attract and retain top engineering talent. - Stay current with industry trends and advocate for the adoption of new tools and technologies that improve team productivity and code quality. Key Responsibilities : - Lead, mentor, and scale a team of backend and full-stack engineers. - Oversee the execution of complex engineering projects from design to deployment, ensuring quality and timely delivery. - Define and enforce engineering best practices, architecture standards, and code quality metrics. - Collaborate closely with Product, Design, QA, and Data Science teams to deliver scalable SaaS solutions. - Conduct performance reviews, one-on-ones, and career development sessions for engineers. - Contribute to system design, code reviews, and technical decision-making. - Drive adoption of modern technologies, tools, and DevOps practices. - Manage agile sprints, prioritize backlogs, and ensure efficient project execution. - Partner with leadership to shape technical strategy and roadmap for the product. Technical Skills : - Strong hands-on experience with backend development in Python, Node.js, or Java. - Expertise in cloud environments (AWS) EC2, Lambda, S3, RDS, ECS, etc. - Knowledge of modern data technologies Graph Databases, Vector Databases, MongoDB, ElasticSearch. - Experience with microservices architecture, RESTful APIs, event-driven systems, and CI/CD pipelines. - Understanding of ML/NLP pipelines and experience collaborating with Data Science teams. - Proficiency in Agile methodologies and project management tools (Jira, Confluence, etc.). Qualifications : - B.Tech/M.Tech in Computer Science, Engineering, or a related field. - 8+ years of backend software development experience. 2+ years of people management or technical leadership experience. - Proven experience managing agile engineering teams in a fast-paced startup or scale-up. - Excellent communication, leadership, and stakeholder management skills.

What will you be doing here ? - Responsible for the maintenance and growth of a 50TB+ data pipeline serving global SaaS products for businesses, including onboarding new data and collaborating with pre-sales to articulate technical solutions - Solves complex problems across large datasets by applying algorithms, particularly within the domains of Natural Language Processing (NLP) and Large Language Models (LLM) - Leverage bleeding-edge technology to work with large volumes of complex data - Be hands-on in development - Python, Pandas, NumPy, ETL frameworks. - Preferred exposure to distributed computing frameworks like Apache Spark , Apache Kafka, Apache Airflow, Elasticsearch - Along with individual data engineering contributions, actively help peers and junior team members on architecture and code to ensure the development of scalable, accurate, and highly available solutions - Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirement: - B-Tech/M-Tech in Computer Science preferably from Tier 1/2 Colleges. - 2-4 years of relevant work experience in data engineering or related roles. - Proven ability to efficiently work with a high variety and volume of data (50TB+ pipeline experience is a plus). - Solid understanding and preferred exposure to NoSQL databases, including Elasticsearch, MongoDB, and GraphDB. - Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, IBM , etc. - Exposure to core data engineering concepts and tools: Data warehousing, ETL processes, SQL, and NoSQL databases. - Great problem-solving ability over a larger set of data and the ability to apply algorithms, with a plus for experience using NLP and LLM. - Willingness to learn and apply new techniques and technologies to extract intelligence from data, with prior exposure to Machine Learning and NLP being a significant advantage. - Sound understanding of Algorithms and Data Structures. - Ability to write well-crafted, readable, testable, maintainable, and modular code. Desired Profile : - A hard-working, humble disposition. - Desire to make a strong impact on the lives of millions through your work. - Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. - A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision

Trademo - Software Development Engineer II - Data Management 

Description : Role: Software Engineer - Backend Location: Onsite - Gurgaon What will you be doing here? : - Design, implement, and maintain scalable features across the products. - Build, deploy, and monitor services on Azure, GCP, and IBM Cloud, with an emphasis on scalability, performance, and security. - Design data models and write efficient queries using PostgreSQL, MongoDB, and SQL, ensure data integrity and performance. - Build and maintain RESTful APIs and internal services to support platform integrations and data workflows. - Contribute to CI/CD pipelines, infrastructure-as-code, and monitoring solutions for seamless deployment and observability. - Debug complex issues and optimize backend logic for better user experience and system reliability. - Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team. Requirement : - B-Tech/M-Tech in Computer Science from Tier 1/2 Colleges. - Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, etc. - 1-3 years of hands-on experience in software engineering, preferably in product-based or SaaS companies. - Solid understanding of SQL, PostgreSQL, and MongoDB including query optimization and schema design. - Sound understanding of RESTful APIs, microservices, and version control (Git). - Familiarity with CI/CD practices, testing frameworks, and agile methodologies. Desired Profile : - A hard-working, humble disposition. - Desire to make a strong impact on the lives of millions through your work. - Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team. - A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision

Trademo - Software Engineer - Backend Development 

About Trademo : At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence. Our AI-Enhanced Solutions : - Trademo Intel AI-powered trade intelligence to uncover market trends and competitive insights. - Trademo Sanctions Screener AI-driven compliance with 650+ global sanctions and PEP lists. - Trademo Global Trade Compliance Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing. - Trademo Map AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks. - Trademo TradeScreen AI-powered trade transaction digitization, financial crime screening and compliance platform. Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import/Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information. By analyzing trade data from 200+ countries, Trademo uses AI to provide deep insights, ensuring visibility and compliance across global supply chains. Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Our Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General Catalyst & Former CBO, Whatsapp Group. Key Responsibilities : - Development and deployment of ML and GenAI-powered features across the product. - Architect and implement scalable ML pipelines and GenAI integrations. - Work closely with product, design, and engineering teams to translate business problems into data/ML solutions. - Own model training, validation, and deployment pipelines. - Mentor a junior team of junior AI engineers and researchers. - Stay updated with the latest in GenAI and ML research, and drive adoption of relevant innovations. Requirements : - 3- 4 years of experience in ML/Data Science, with at least 1+ year working on GenAI. - Strong hands-on experience with LLMs. - Solid experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, etc. - Deep understanding of NLP, transformers, and deep learning fundamentals. - Proven ability to lead end-to-end ML/AI feature development in a startup or product environment. - Strong communication and cross-functional collaboration skills.

Trademo - Senior Artificial Intelligence Engineer 

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