Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

About the role

We are seeking a Senior Python Engineer to design and build enterprise‑grade multi‑agent AI systems on AWS. The role focuses on architecting intelligent agent solutions using LangGraph, LangChain and AWS Bedrock AgentCore Runtime, delivering scalable, stateful workflows with human‑in‑the‑loop capabilities.

Key responsibilities

• Design, develop, and maintain multi‑agent AI applications using Python, LangGraph, and LangChain.
• Build scalable agent workflows on AWS Bedrock AgentCore Runtime.
• Implement advanced orchestration patterns such as supervisor/worker, fan‑out/fan‑in, and collaborative multi‑agent architectures.
• Create stateful workflow execution with LangGraph checkpointing, recovery, and persistence.
• Develop resilient, fault‑tolerant, and idempotent strategies for long‑running AI workflows.
• Integrate Human‑in‑the‑Loop (HITL) approval processes into critical agent workflows.
• Enable agent delegation and collaboration via Agent Gateway and Agent‑to‑Agent communication.
• Implement memory, context management, and persistence strategies for AI agents.
• Optimize workflow scalability, reliability, observability, and performance in distributed cloud environments.
• Collaborate with platform, security, DevOps, and product teams to deliver production‑ready AI solutions.

Required profile

• Bachelor's degree in Computer Science or related field.
• Significant experience developing Python applications at an enterprise level.
• Proven expertise designing and deploying AI/ML solutions on AWS.
• Strong understanding of distributed systems, orchestration, and stateful workflow management.
• Experience working in cross‑functional teams and adhering to engineering standards.

Required skills

• Python
• LangGraph
• LangChain
• AWS
• AWS Bedrock (AgentCore Runtime)