1–3 yrsPuneOn-siteDirect career pageEst. 6–12 LPA
Posted on 30 Aug
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 iProgrammer Solutions
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 iProgrammer Solutions 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, develop, and maintain GenAI applications including chatbots and document/query intelligence systems.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and orchestrate LLMs using frameworks like LangChain or LlamaIndex.
- Develop backend AI services with Python and FastAPI; integrate AI workflows with systems like CRM, databases, and APIs.
Minimum Requirements
- 1-3 years of work experience in AI or backend development with LLM-based applications.
- Proficient in Python backend development and frameworks like FastAPI/Flask/Django.
- Experience with LLM orchestration tools (LangChain, LangGraph, LlamaIndex), RAG pipelines, vector databases (FAISS, Pinecone, etc.).
- Work location: Pune; Work mode: Work from Office (WFO); Education: BE/BTech/MTech/MCA in CS, AI/ML, Data Science, IT, or equivalent.
Ideal Candidate Profile
- Has delivered at least one real-world AI/GenAI application with backend integration and production deployment.
- Strong hands-on experience with RAG architecture, prompt engineering, and LLM guardrails to optimize AI response accuracy and safety.
- Ability to clearly explain implementation details beyond theoretical AI concepts.