Flexible Work, Better Balance
Description
& Summary: A career with in..............Responsibilities:
Design and develop scalable Agentic AI systems using modern LLM frameworks
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Develop intelligent AI agents using orchestration frameworks
Integrate AI solutions with cloud services and enterprise systems
Collaborate with cross-functional teams to deploy production-ready AI applications
Ensure performance optimization, observability, and monitoring of AI workflows
Mandatory skill sets:
Strong proficiency in Python
Hands-on experience in Generative AI (GenAI) development
Experience building RAG-based solutions
Working knowledge of:
LangChain
LangSmith
LangGraph
Strands/Agent orchestration frameworks
Experience with AWS Bedrock
Strong understan...