GEN AI - Graduate Engineer
Iris Software (company site, opens in a new tab)5+ yrsNoidaOn-siteDirect career pageEst. 12–22 LPA
Posted 20h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Iris Software
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Iris Software you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable GenAI/LLM-based applications and RAG pipelines using Python for enterprise solutions.
- Implement AI workflows and agentic applications leveraging LangChain, LangGraph, and vector search technologies (PostgreSQL/PGVector).
- Deploy and integrate AI services with AWS cloud infrastructure ensuring performance, scalability, and production readiness.
Minimum Requirements
- 5+ years of software development experience.
- Strong hands-on expertise in Python, PostgreSQL, and PGVector (vector databases).
- Proven experience with RAG (Retrieval-Augmented Generation), LangChain, LangGraph, and AWS cloud deployment.
- Understanding of LLMs, embeddings, prompt engineering, and AI application architecture.
Ideal Candidate Profile
- Experienced hands-on engineer skilled in building and deploying production-grade GenAI applications using RAG, LangChain, LangGraph, PostgreSQL/PGVector, and AWS.
- Ability to optimize AI pipelines for accuracy, relevance, latency, and scalability in enterprise contexts.
- Comfortable collaborating with product, engineering, and data teams to translate business requirements into AI-powered solutions.