Python LLM Engineer (LangGraph, RAG, AWS, Kubernetes) - Any UST Location - Immediate Joiner

Candidates ready to join immediately can share their details via email for quick processing.

CCTC | ECTC | Notice Period | Location Preference

nitin.patil@ust.com

Act fast for immediate attention!

Mandatory Skills

• Strong experience in Python (3.x)
• Hands-on experience with LangGraph
• Strong understanding of LLMs and prompt engineering
• Experience implementing RAG architectures
• Hands-on experience with AWS services:
• Lambda
• S3
• DynamoDB
• 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 Agentic frameworks / Agent Core architectures
• Experience building multi-agent systems
• Knowledge of distributed AI workloads

Core Competencies

• Strong problem-solving and analytical skills
• Ability to design scalable AI architectures
• Ownership of end-to-end AI solution development
• Excellent verbal and written communication skills
• Collaborative mindset for cross-functional environments

Primary Skills Keywords

Python, LangGraph, LLMs, RAG, AWS, Kubernetes, REST APIs