Description

What's the Job?

• Design and develop agentic AI systems using LLMs and enterprise-ready integrations (e.g., AWS Bedrock, Anthropic API, and related services).
• Build multi-step AI agents and multi-agent workflows with planning, memory, and tool usage capabilities to reason, plan, and execute tasks.
• Integrate REST APIs, microservices, enterprise systems, and knowledge sources into agent workflows to enable end-to-end functionality.
• Implement RAG (Retrieval Augmented Generation) pipelines, including vector embeddings and retrieval strategies that improve answer quality and relevance.
• Ensure scalability, performance, and security of AI systems while monitoring agent behavior and improving accuracy and reliability over time.

What's Needed?

• 10+ years of hands-on development experience in software engineering / AI development.
• Strong programming skills in Python (mandatory).
• Experience with LLM frameworks: LangChain and LangGraph (mandatory).
• Knowledge of vector databases such as FAISS, Pinecone, PgVector, or similar.
• Development experience with REST APIs and microservices architecture, plus AWS and/or Anthropic AI services

Key Skills

Education

Any Graduate