AI Engineer — Stealth-Mode Hardware/AI Startup
Our client is a fast-scaling technology company building next-generation AI-powered hardware devices for the security and public safety sector. Backed by strong early traction and a lean, high-performing team, they're looking for an
AI Engineer
to help shape the intelligence layer behind their product line.
About the Role
You'll join a small, senior engineering team building AI capabilities that sit directly on top of connected hardware devices — from data pipelines and model integration through to deployment in real-world, mission-critical environments. This is a hands-on, build-from-scratch role for someone who thrives in ambiguity and wants outsized ownership.
What You'll Do
* Design, build, and deploy LLM-powered features and agentic workflows into production
* Work with MCP (Model Context Protocol) and related tooling to connect AI systems to internal and external data sources
* Build and maintain scalable AI/ML infrastructure on AWS and/or Azure
* Collaborate closely with hardware and firmware teams to bring AI capabilities to edge/connected devices
* Own projects end-to-end in a fast-moving startup environment — from prototype to production
What You'll Bring
* Strong Python skills, with hands-on experience building LLM-based applications
* Practical experience with MCP or comparable agent/tool-orchestration frameworks
* Solid cloud experience (AWS and/or Azure) — deployment, infrastructure, and scaling AI workloads
* Startup experience, ideally in an early-stage or high-growth environment with high autonomy
* Exposure to hardware-integrated products (IoT, edge devices, embedded systems, or similar) is a strong plus
* Comfort working across ambiguity, with a bias toward shipping
What's on Offer
* Ground-floor opportunity with a company building category-defining hardware/AI products
* High autonomy and direct influence on product direction
* Competitive compensation package
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