Iris Software has been a trusted software engineering partner to several Fortune 500 companies for over three decades. We help clients realize the full potential of technology-enabled transformation by bringing together a unique blend of domain knowledge, best-of-breed technologies, and experience executing essential and critical application development engagements.

www.irissoftware.com

Title- Gen AI - Senior Engineer

Location- Noida, Gurgaon, Pune

Notice: 15 Days OR Immediate joiners only

Mode- Hybrid

Shift: 1:00 PM- 10:00 PM IST

Job Summary

We are looking for an experienced GenAI / AI Engineer with 5+ years of software development experience and strong hands-on expertise in Python, RAG-based applications, LangChain, LangGraph, PostgreSQL/PGVector, and AWS. The candidate will be responsible for designing and developing scalable AI applications and integrating LLM-based capabilities into enterprise solutions.

Key Responsibilities

- Design and develop GenAI/LLM-based applications using Python.
- Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
- Develop AI workflows and agentic applications using LangChain and LangGraph.
- Design and implement vector search and semantic retrieval using PostgreSQL and PGVector.
- Work with LLMs, embeddings, prompt engineering, document processing, and context retrieval.
- Develop scalable and production-ready AI services and APIs using Python.
- Deploy and integrate AI applications with AWS cloud services.
- Optimize RAG pipelines for accuracy, relevance, latency,



and scalability.
- Work closely with product, engineering, and data teams to translate business requirements into AI solutions.
- Write clean, maintainable, testable, and well-documented code.
- Troubleshoot performance, integration, and production issues related to AI applications.

Must-Have Skills

- 5+ years of software development experience
- Strong hands-on experience with Python
- Solid experience with PostgreSQL
- Hands-on experience with PGVector / vector databases
- Strong understanding and implementation experience of RAG (Retrieval-Augmented Generation)
- Hands-on experience with LangChain
- Hands-on experience with LangGraph
- Good experience with AWS and cloud-based application deployment
- Understanding of LLMs, embeddings, vector search, prompt engineering, and AI application architecture

Good to Have

- Experience building AI agents / agentic workflows
- Experience with REST APIs and microservices
- Knowledge of Docker/Kubernetes
- Experience with AWS services such as S3, Lambda, ECS/EKS, Bedrock, OpenSearch, and RDS
- Experience with CI/CD and production deployment of AI applications
- Experience working with enterprise GenAI solutions

Candidate Profile The ideal candidate should be a strong hands-on engineer, rather than purely an AI/ML theorist, with proven experience building and deploying production-grade GenAI applications using RAG, LangChain, LangGraph, PostgreSQL/PGVector, and AWS. Sounds like you? Send your CV to me - [email protected]

📌 GenAI / AI Engineer (Gurugram)
🏢 IRIS SOFTWARE
📍 Gurugram