We are looking for an AI Engineer with strong experience in Retrieval-Augmented Generation (RAG) to design, build, and operate scalable GenAI backend systems.

Company: UST

Role: ML Engineer I

Location: Hyderabad

Experience:

7 Years

Key Skills:

mlops
langgraph
retrieval-augmented generation
python
fastapi
rest apis
langchain

Role Focus:

Design, develop, and maintain Python backend services using FastAPI and/or Flask, following clean architecture and best practices
Build and expose REST APIs for GenAI capabilities including agents, retrieval, orchestration, evaluation, and observability
Implement Agentic AI workflows using LangChain and LangGraph, including tool calling, planning, multi-step execution, and state graphs
Develop end-to-end RAG systems: data ingestion, chunking, embeddings, retrieval, reranking, and response grounding
Integrate and optimize vector databases such as FAISS, Pinecone, and Weaviate for semantic search and retrieval
Work with structured data sources and warehouses including MySQL, PostgreSQL, and Snowflake
Collaborate with product, data, and infrastructure teams to translate requirements into reliable, scalable AI systems
Write unit and integration tests, enforce quality checks through GitHUB CI/CD, and ensure production readiness

ML Engineer I

Skills Required

Description

Experience:

Key Skills:

Role Focus:

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