Open role
Forward-Deployed AI Engineer, Manufacturing
Put AI on the factory floor, wiring models to sensors, equipment, and industrial processes.
San Francisco · Brazil · Spain · Poland · RemoteFull-time
Plank places forward-deployed engineers inside manufacturing and industrial teams to take AI into production on the factory floor: sensors, equipment, and the processes that run heavy industry. Plank already ships industrial process AI at Procense, and equipment sourcing at Diagon, built by a team that has managed more than 5 billion dollars in equipment. You own delivery end to end, vendor-neutral across OpenAI, Anthropic, and open models.
What you will do
- Embed with a customer team, often on-site, and own delivery end to end: discovery, technical scoping, system design, build, and production rollout.
- Drive solutions from a 0 to 1 prototype through MVP to scale, writing and reviewing production-grade code across the stack.
- Build the hard parts hands-on: agents and sub-agents, MCP servers, RAG pipelines, evals, and integrations against real systems of record.
- Be the primary technical owner of the engagement, partnering with the customer's engineers, domain experts, and leadership.
- Codify what works into reusable building blocks, playbooks, and repeatable deployment patterns.
- Bring the field back to product: surface deployment friction and eval-driven signal that sharpens what gets built next.
- Integrate with industrial systems, sensor pipelines, and equipment data, and design for the constraints of the floor.
What we are looking for
- 4 to 10 years of engineering experience, ideally customer-facing or in deployment; former founders welcome.
- You write and review production-grade code across frontend and backend, with Python as a baseline and TypeScript a strong plus.
- Hands-on production experience with LLMs: prompt engineering, agent development, evals, RAG, and deployment at scale.
- A track record of scoping and shipping complex systems, and comfort with cloud, data pipelines, and enterprise environments.
- High agency and comfort with ambiguity: you turn vague business problems into concrete technical plans and own the outcome.
- Strong communication and stakeholder management, from technical discovery to the executive relationship.
- Interest or experience in manufacturing, industrial automation, IoT, or hardware-adjacent systems.
Nice to have
- Experience with sensor data, control systems, or industrial protocols.
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