Gen AI

Job Description Why Join Iris Are you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions Join Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story. About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working with Us At Iris, every role is more than a job - it's a launchpad for growth. Our Employee Value Proposition, Build Your Future. Own Your Journey.reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best - both personally and professionally. Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it . Job Description Role Overview We are looking for an experienced Lead Engineer (8 - 10 Years) with strong expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications. The ideal candidate will lead design, architecture, and development of scalable AI solutions, mentor the team, and collaborate closely with product and architecture teams. Key Responsibilities 1. Architecture, Design & Technical Leadership a. Lead end-to-end design and development of GenAI-powered applications. b. Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging cloud services c. Drive adoption of LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents). d. Keep pace with technological evolution in Gen AI space, explore and set up PoC for better solutions 2. Generative AI Development a. Build RAG pipelines using vector databases, embeddings, and document indexing. b. Design and implement Agentic workflows c. Implement vector search using PGVector, FAISS etc. d. Create embedding pipelines, chunking strategies, metadata tagging, and retrieval optimizations. e. MCP 3. Python & Cloud a. Build backend services, API layers, and model-serving components in Python (Flask). b. Understanding of AWS services such as ECS, API Gateway, S3, Bedrock, CloudWatch, SageMaker. c. Performance and Security as first principles 4. Collaboration a. Lead a small team of engineers, conduct code reviews and design reviews. b. Work with cross-functional teams - Product, Architecture, Security, Data Engineering. c. Ensure best practices in coding, testing, observability, and DevOps. Required Skills . Strong proficiency in Python (Flask, REST, async programming). . Deep hands-on experience with Generative AI and LLM-based applications. . Expertise in RAG development, embeddings, vector databases. . Experience with Agent frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents). . Strong understanding of AWS Cloud architecture. . Experience with API development, microservices, and event-driven systems. . Familiarity with CI/CD pipelines, Docker, GitLab/GitHub Actions. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication Middleware - API Middleware - Microservices DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Cloud - AWS - AWS S3, S3 glacier, AWS EBS Cloud - GCP - Apigee API Management, API Gateway Perks and Benefits for Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.