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