AI Engineer (Agentic Systems / Computer Vision / Industrial AI)
• *AI Engineer (Agentic Systems / Computer Vision / 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
- 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
- Background in
- *robotics, autonomous systems, or industrial environments
- 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**
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