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Key Responsibilities

- Develop and maintain AI-powered applications using Python (3.x) .
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Build multi-agent workflows using LangGraph and agentic frameworks .
- Integrate LLMs with vector databases such as Chroma, FAISS, or Pinecone.
- Build and consume REST APIs to integrate AI services with enterprise platforms.
- Deploy and manage AI workloads using AWS services such as Lambda, S3, DynamoDB, and CloudWatch .
- Apply prompt engineering techniques to optimize LLM responses.
- Develop scalable systems using asynchronous programming in Python .
- Deploy containerized applications using Kubernetes .




- Monitor and optimize system performance and reliability.

Required Skills & Experience
- Strong experience with Python (3.x) .
- Hands-on experience with LangGraph .
- Solid understanding of LLMs and prompt engineering .
- Knowledge of RAG (Retrieval-Augmented Generation) architectures .
- Experience with AWS services such as Lambda, S3, DynamoDB, and CloudWatch .
- Experience building and consuming REST APIs .
- Robust understanding of asynchronous programming in Python .
- Familiarity with vector databases (Chroma, FAISS, Pinecone) .
- Working knowledge of Kubernetes .

Nice to Have
- Experience with LangChain .
- Exposure to agent core / agentic frameworks .

📌 Sr. Python Developer (GenAI / LLM) | Any UST Location | Immediate Joiner (Bengaluru)
🏢 UST
📍 Bengaluru