Python AI Engineer
Core
Design, develop, and deploy enterprise-grade autonomous AI agents and multi-agent systems.
Role type
Senior AI Agent Engineer (IC)
Builds
Agentic applications and multi-agent workflows for financial services and technology firms.
Domain
Artificial Intelligence / Agentic AI / Financial Services
Deliverable
production ML models
Required skills
Python, Amazon Bedrock, AgentCore, LangChain, LangGraph, Strands Agents SDK, Model Context Protocol (MCP), LLM orchestration, prompt engineering, multi-agent system design
Preferred skills
AWS native cloud deployments, RAG architectures, AI agent observability and evaluation, Generative AI production deployment
Technologies
Amazon Bedrock, AgentCore, LangChain, LangGraph, Strands Agents SDK, MCP
Responsibilities
Design and develop autonomous AI agents and multi-agent workflows; Build agentic applications using specified frameworks; Implement orchestration, planning, memory management, and tool-calling capabilities; Design and integrate Model Context Protocol (MCP) based solutions; Create scalable agent architectures; Collaborate with product and engineering teams to translate business requirements into AI solutions; Evaluate and optimize performance, reliability, and security of LLMs.
Seniority
Senior, hands-on IC
