Job Description

GenAI / LLM Application Engineer

Role Summary

We are looking for a GenAI / LLM Application Engineer to build production-grade AI assistants, retrieval systems, and workflow automation solutions. The role requires hands-on experience with multi-agent orchestration, RAG pipelines, search and retrieval infrastructure, backend APIs, and user-facing chatbot experiences.

The ideal candidate can take a business workflow, break it into AI-enabled subtasks, connect the right tools and services, and deliver reliable, measurable outcomes.

Key Responsibilities
- Design and implement multi-agent orchestration systems that can decompose complex user requests into smaller tasks.
- Build retrieval-augmented generation pipelines for enterprise documents and knowledge bases.
- Develop and optimize search flows using vector search, semantic search, keyword search, and hybrid retrieval.
- Integrate LLMs with external tools, APIs, and enterprise systems such as ticketing, HR, or support platforms.
- Create backend services using Python and FastAPI to power AI features and APIs.




- Work with LangChain and LangGraph to implement agent workflows, tool calling, and retrieval logic.
- Build and maintain chatbot interfaces using React, Chainlit, or similar frontend frameworks.
- Manage token limits, prompt quality, context handling, and conversation history strategies.
- Evaluate response quality using human review, recall vs precision analysis, and automated evaluation methods.
- Collaborate with product, backend, and business teams to translate workflows into AI solutions.

Required Skills
- Solid experience in Python backend development.
- Hands-on experience with FastAPI or similar API frameworks.
- Practical knowledge of LangChain and/or LangGraph.
- Experience building RAG systems with chunking, embeddings, retrieval, and prompt assembly.
- Familiarity with Elasticsearch or other vector/search databases.
- Understanding of embeddings, transformers, attention, tokeni

📌 Hiring For Full Stack Developer (Mumbai)
🏢 Saint-Gobain
📍 Mumbai