Senior AI Engineer - Agentic Systems & Industrial Intelligence

This role is with a stealth-mode AI startup backed by leading venture investors. The company is building production AI systems for complex, physical-world environments. Further details about the company, product, and mission will be shared in later stages of the hiring process.

The Opportunity

The company is looking for a Senior AI Engineer to join as an early member of the technical team. You will build agentic AI systems that operate in real industrial environments — working with physical-world data including video streams, IoT sensors, time-series telemetry, and operational systems like ERP, CMMS, and PLC layers.

This is a 0-to-1 role with high ownership and direct impact. The problems are not clean benchmark problems — they involve noisy data, temporal alignment challenges, schema normalization across legacy systems, and the operational complexity of production environments where reliability matters. If you have built AI systems that actually ship and run in the real world, this is that role.

What You'll Do

• •      Build agent runtime and orchestration infrastructure across vision quality, predictive maintenance, and operations planning agents
• •      Design context assembly from ontology and memory, tool dispatch, approval gates, tracing, and cost controls
• •      Build multimodal sensor pipelines including video processing, YOLO and segmentation models, FFT feature extraction, and cross-sensor correlation
• •      Architect an industrial ontology and knowledge graph mapping plants, assets, sensors, work orders, materials, and maintenance history
• •      Build a memory layer including trace storage, playbooks, asset templates, and transferable failure pattern libraries
• •      Develop operational decision surfaces including dashboards, alerting workflows with evidence, replanning tools, and audit trails
• •      Build integration connectors across ERP, CMMS, WMS, and PLC systems into a unified schema

You Should Have

• •      3+ years (5+ preferred) of experience building and shipping production AI systems, ideally agentic products
• •      Experience as an early engineer at a VC-backed startup, taking systems from 0 to 1
• •      Track record building and shipping agent systems in production with orchestration, tool use, state management, and human-in-the-loop workflows
• •      Experience working with physical-world data at scale including RTSP video, time-series telemetry, vibration, thermal, and PLC/OPC-UA data under real constraints of noise, drift, latency, and alignment
• •      Experience building multimodal AI pipelines combining vision with structured operational data
• •      Experience integrating AI systems with ERP, CMMS, WMS, historians, or PLC layers and handling normalization and schema mapping
• •      Ability to ship end-to-end systems from ingestion and model serving through backend services (Python, TypeScript) to frontend interfaces
• •      Comfort operating autonomously in a high-intensity, fast-moving environment with significant ownership

Nice to Have

• •      Experience with industrial ontology, knowledge graph, or structured context systems grounded in real asset hierarchies
• •      Background in robotics, autonomous systems, or industrial computer vision