Senior Engineer

2 weeks ago


Noida, Uttar Pradesh, India Iris Software Inc. Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Role Overview

We are looking for an 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 Responsibilitie

  1. sGenerative AI Design & Developmen
  2. tContribute to the design and implementation of GenAI-powered applications
  3. .Translate functional requirements into efficient Python services
  4. .Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents)
  5. .Participate in PoCs and exploratory work for new GenAI capabilities
  6. .Python & Clou
  7. dBuild and enhance RAG pipelines using embeddings, vector databases, and chunking strategies
  8. .Implement basic Agentic workflows under guidance from senior team members
  9. .Work with vector search systems (PGVector, FAISS, etc.)
  10. .Implement indexing, metadata tagging, and retrieval optimizations
  11. .Exposure to MCP / tool-integration frameworks is an added advantage
  12. .Collaboratio
  13. nParticipate in code reviews, design discussions, and documentation
  14. .Follow best practices in coding standards, testing and DevOp
  15. sCollaborate with team

.Required Skill

  • sStrong 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

.


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