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Gen AI Engineer

Iris Software
Noida Not disclosed
Yesterday
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About the job

We are looking for a Gen AI Engineer (4-6 years) with good 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 contribute to the design and development of scalable AI solutions, work closely with senior architects, and collaborate with cross-functional teams. Key Responsibilities 1. Generative AI Design & Development a. Contribute to the design and implementation of GenAI-powered applications. b. Translate functional requirements into efficient Python services. c. Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents). d. Participate in PoCs and exploratory work for new GenAI capabilities. 2. Python & Cloud a. Build and enhance RAG pipelines using embeddings, vector databases, and chunking strategies. b. Implement basic Agentic workflows under guidance from senior team members. c. Work with vector search systems (PGVector, FAISS, etc.). d. Implement indexing, metadata tagging, and retrieval optimizations. e. Exposure to MCP / tool-integration frameworks is an added advantage. 3. Collaboration a. Participate in code reviews, design discussions, and documentation. b. Follow best practices in coding standards, testing and DevOps c. Collaborate with team. Required Skills • Strong hands-on proficiency in Python (Flask, REST, async programming). • Practical experience with Generative AI and LLM-based applications. • Good understanding of RAG system, embeddings, vector databases. • Exposure to Agentic frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents). • Familiarity with AWS Cloud (ECS, S3, API Gateway, IAM, Bedrock). • Experience with API development, microservices, containerization etc. • Knowledge of CI/CD pipelines, Docker, GitLab/GitHub Actions.

Requirements

  • Python
  • AWS
  • Generative AI
  • RAG protocols
  • Agentic workflows

Preferred Technologies

  • Python
  • AWS
  • Generative AI
  • RAG protocols
  • Agentic workflows

About the company

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.

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