Sr. Python Developer (GenAI / LLM) | Any UST Location | Immediate Joiner
Posted
Summary
Senior Python developer building GenAI/LLM-powered applications: designing RAG architectures, multi-agent workflows with LangGraph, integrating LLMs with vector databases (Chroma, FAISS, Pinecone), and deploying on AWS (Lambda, S3, DynamoDB, CloudWatch) and Kubernetes. Immediate joiners preferred; open to any UST location including Bangalore.
Candidates ready to join immediately can share their details via email for quick processing.
CCTC | ECTC | Notice Period | Location Preference
nitin.patil@ust.com
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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.
- Strong 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.