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Senior AI Engineer

Oakwell Hampton Group

We are partnered with a fast-growing industrial technology company building the foundational operating system and agentic infrastructure for American manufacturing. They are combining software, modern AI, and a proprietary network of fabrication facilities to help aerospace, energy, and infrastructure leaders build complex hardware faster and more reliably.

They are looking for a Senior AI Agent Engineer to architect and scale the production-grade agentic systems sitting at the core of their platform. You will move beyond simple RAG and chatbots, building autonomous and semi-autonomous agents capable of reasoning over engineering and manufacturing data, calling tools, maintaining complex project state, and executing multi-step workflows across quoting, project management, procurement, scheduling, and shop-floor execution.

What You'll Do
  • Design, build, and deploy production-grade AI agents for high-consequence industrial workflows.
  • Engineer robust tool-calling systems, routing, planning frameworks, memory architectures, and multi-agent coordination (e.g., LangGraph or similar).
  • Build sophisticated extraction and multimodal pipelines for unstructured engineering drawings, BOMs, specs, PDFs, and communications.
  • Implement rigorous evaluation frameworks, verification loops, and human-in-the-loop guardrails to ensure output reliability and trace-back to source documentation.
  • Partner directly with internal operations and fabrication teams to observe real-world friction points and rapidly turn them into reliable software solutions.
What We're Looking For
  • Exceptional software engineering background with deep, hands-on experience designing and shipping modern AI/LLM systems to production.
  • Strong command of Python and production backend infrastructure.
  • Demonstrated expertise in agentic design patterns (tool use, planning, memory, state management) and constrained generation.
  • Solid grasp of RAG, vector databases, semantic search, and knowledge retrieval architectures.
  • Pragmatic engineering mindset: you care deeply about whether an AI system actually works reliably in the real world rather than just looking good in a demo.
  • No manufacturing background required—just a genuine curiosity about how physical hardware gets built.
Why This Opportunity?
  • High Ownership & Impact: Build software that directly coordinates and controls physical production processes in critical sectors like aerospace and energy.
  • Cutting-Edge AI Challenges: Tackle complex state management, long-term memory, multi-step reasoning, and verification systems where failure isn't an option.
  • Fast-Paced Environment: Work closely with founding leadership and operators with minimal bureaucracy and rapid feedback loops.
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Vacancy posted 2 days ago
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