AI Engineer (LLM & Agent Systems)
ADscholars2–3 yrsHyderabadOn-siteDirect career pageEst. 8–15 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain AI applications leveraging Large Language Models (LLMs) and frameworks like LangChain or LangGraph.
- Build and optimise Retrieval-Augmented Generation (RAG) pipelines, semantic search, and scalable backend services using Python and FastAPI.
- Integrate AI models, REST APIs, vector databases, and third-party services into production-ready AI-driven features, collaborating with cross-functional teams.
Minimum Requirements
- 2–3 years of professional Python software development experience.
- Hands-on experience with Large Language Models and LLM orchestration frameworks (LangChain, LangGraph, or similar).
- Experience developing REST APIs with FastAPI or comparable Python frameworks.
- Familiarity with RAG concepts, embeddings, vector search, vector databases (e.g., Chroma, FAISS, Pinecone), and cloud platforms (AWS, Azure, or GCP).
Ideal Candidate Profile
- Strong Python programming foundation with practical LLM and AI application development experience.
- Experience working with vector databases, AI model integration, and building production-ready backend services.
- Demonstrated ability to work across teams to prototype, test, and deploy AI-powered solutions with good software engineering discipline.