AI Engineer
Core
Design and ship agentic workflows and internal productivity tools to automate high-impact business operations across sales, marketing, finance, and talent.
Role type
Staff AI Engineer (Agentic Workflows & Internal Automation)
Builds
Multi-step, tool-augmented agent workflows, planner–executor architectures, and stateful agent systems for internal enterprise use.
Domain
Enterprise AI, Agentic Systems, Internal Productivity Automation
Deliverable
production ML models | product features
Required skills
LLM APIs, agentic frameworks (LangGraph, CrewAI, AutoGen), Python, backend services, API design, data pipelines, systems thinking, stakeholder collaboration
Preferred skills
multi-agent systems, workflow orchestration, evaluation frameworks (LangSmith, Weights & Biases), RAG pipelines, vector databases, real-time AI systems, AI safety practices, AWS ML services (Bedrock, SageMaker), MCP/structured tool integration
Technologies
LangGraph, CrewAI, AutoGen, Python, AWS (Bedrock, AgentCore, Lambda, SageMaker), LangSmith, Weights & Biases, Arize
Responsibilities
Prioritize high-impact automation workflows with business teams; design and develop production agent systems with human-in-the-loop controls; integrate with Agentic AI Foundations platform; establish technical patterns and standards for agent design; optimize agent performance using evaluation harnesses.
Seniority
Staff, hands-on IC with strategic definition and execution