3 hours ago
Responsibilities
- Build agent-based systems, routing, orchestration, and guardrails that support critical manufacturing decisions.
- Own product features end-to-end across LLM pipelines, infrastructure, backend, frontend, and production deployment.
- Build scalable systems that handle large volumes of structured and unstructured data.
- Work directly with manufacturing planners to identify workflow improvements and turn user needs into product features.
- Develop the core product using agent-based reasoning, mathematical optimization, and simulation.
Requirements
- Experience shipping production code end-to-end as a full-stack engineer.
- Experience building scalable backend and infrastructure systems for large amounts of structured and unstructured data.
- Strong technical ability demonstrated through technically difficult projects and clear architectural decision-making.
- Strong product sense, including the ability to identify valuable features from user feedback.
- High attention to correctness, root-cause analysis, customer care, and urgency.
- Willingness to work onsite in Munich or San Francisco.
Benefits
- Onsite work in Munich or San Francisco.
- Visa support is available.
- Unusual ownership and early responsibility in a small, talent-dense team.
- Opportunity to work closely with major robotics, machine, and component manufacturers.
Tech Stack
Categories
About Dryft
Dryft builds artificial intelligence that mimics, optimizes, and automates complex human decisions in manufacturing operations. We use a combination of AI agents & mathematical optimization to build what comes after ERPs: systems that think, act, and adapt autonomously across manufacturing operations.