Senior Agentic AI Engineer
Core
Design, build, and deploy enterprise-grade autonomous multi-agent systems and generative AI products that move from POCs to production.
Role type
Senior IC agentic AI engineer
Builds
Scalable generative AI products and autonomous multi-agent workflows
Domain
Enterprise AI / Generative AI / Multi-agent systems
Deliverable
production ML models
Required skills
Python, backend frameworks, distributed microservices, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol design, cloud-based foundation model platforms, containerization, CI/CD pipelines, SRE principles
Preferred skills
Multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen), agent deployment platforms (Bedrock AgentCore), big data platforms, distributed systems for large-scale context processing
Technologies
Python, AWS Bedrock, LangGraph, CrewAI, AutoGen, MCP, A2A
Responsibilities
Design and deploy autonomous AI services and multi-agent workflows; Implement open communication protocol integrations for agent-to-tool and agent-to-agent coordination; Architect hybrid control flows, state machines, and graphs for multi-step reasoning; Integrate secure tool execution environments with sandboxed contexts; Collaborate to translate business requirements into technical agent specifications; Apply SRE principles to establish fallback mechanisms and audit trails
Seniority
Senior, hands-on IC