AI Engineer (Autonomous Systems / Robotics / Industrial AI)

AI Engineer (Autonomous Systems / Robotics / Industrial AI) • Location: Austin, TX or Zurich (Remote flexible) • Compensation: $200,000 – $240,000 + Equity (1–1.5%) • Type: Full-Time The Opportunity We’re building AI systems that operate in the real world — not just in notebooks. This team is focused on agent-driven platforms that interpret and act on physical-world data — video streams, sensor data, industrial signals — to power decision-making across operations, maintenance, and planning. If you’ve built production AI systems and want to work on problems where data is messy, environments are unpredictable, and the stakes are real, this is that kind of role. What You’ll Work On You’ll help design and ship end-to-end AI systems that combine agents, multimodal data, and real-world constraints. • Build agent runtimes and orchestration systems across multiple domains (vision quality, predictive maintenance, operations planning) • Develop multimodal pipelines (video, time-series, sensor data) using computer vision and signal processing techniques • Design context systems (ontology, knowledge graph, memory layers) to ground decision-making in real-world environments • Create decision surfaces: dashboards, alerts, workflows, and audit trails used by operators • Integrate with enterprise systems (ERP, CMMS, WMS, PLCs) and unify complex schemas • Own systems from data ingestion ? model serving ? backend ? user interface What You’ve Done • Strong background in robotics, autonomous systems, or industrial environments required • Built and shipped production AI systems (3+ years, ideally 5+) • Delivered agentic systems with orchestration, tool use, memory/state, and human-in-the-loop workflows • Worked with real-world data at scale (video streams, IoT, sensor data, telemetry) • Built multimodal pipelines (vision + structured data) • Shipped 0 ? 1 products, ideally at a VC-backed startup • Designed systems that handle noise, latency, drift, and imperfect data What You Bring • Strong backend engineering skills (Python, TypeScript, FastAPI) • Experience with computer vision (OpenCV, YOLO, segmentation, etc.) • Familiarity with streaming/data pipelines and real-time systems • Experience integrating with enterprise platforms (ERP, CMMS, WMS, industrial systems) • Systems mindset: you think about reliability, cost, failure modes, and scale Nice to Have • Experience with knowledge graphs / ontologies • Built platforms for enterprise customers at scale Who You Are • You’ve taken AI systems from idea ? production real-world use • You’re comfortable working autonomously in high-ownership environments • You care about execution, not just experimentation • You’re energized by solving messy, real-world problems Why This Role • Work on real-world AI systems, not theoretical models • High ownership, small team, fast-moving environment • Direct impact on how AI interacts with physical systems and operations • Competitive comp + meaningful equity