Senior/Lead Applied AI Engineer
Core
Architect, build, and operate production-grade AI Agents and Multi-Agent systems that translate complex enterprise workflows into autonomous AI agent logic.
Role type
Senior/Lead Applied AI Engineer (Agentic AI)
Builds
Autonomous AI agents for sourcing, purchasing, vendor management, and approval processes
Domain
Enterprise SaaS, Supply Chain, Procurement
Deliverable
production ML models
Required skills
Generative AI & LLMs system design, Multi-agent system architecture, MCP (Model Context Protocol) integration, Python/JavaScript scripting, Enterprise integration patterns, Prompt engineering & guardrails, Technical leadership & mentoring
Preferred skills
Supply Chain/Asset Management/Procurement domain expertise, LangChain/LangGraph familiarity, Safety & security practices for agentic systems
Technologies
Python, JavaScript, LangChain, LangGraph, MCP
Responsibilities
Translate business processes into autonomous agent logic, Configure and develop AI agents to automate workflows, Collaborate with SMEs to map end-to-end processes, Lead technical discussions and drive implementation standards, Support production deployment and sustainment
Seniority
Senior, hands-on IC with leadership responsibilities