Artificial Intelligence Engineer

Founding AI Engineer – Build the Agent That Will Revolutionise Hardware Design

Software Engineering has been transformed by AI. Hardware is next.

Techmunity is exclusively hiring a Founding AI Engineer on behalf of a stealth-mode AI startup that’s building agentic systems for the physical world — software that can think, plan, and co-design alongside mechanical, aerospace, and robotics engineers.

This is a unique chance to own the AI foundation of a deeply ambitious product — one that aims to become the Copilot for physical engineering.

The Mission
While coding agents like Devin and Cursor have changed how software gets written, physical engineering still runs on outdated tools, slow simulations, and human bandwidth.

This startup is building the intelligent core for physical design — an agent that integrates seamlessly with tools like Onshape and Ansys, reasons across physics and geometry, and helps engineers create better systems faster.

The long-term goal? Engineer real-world systems with AGI-level reasoning — from data centre coolers and drones to starships and beyond.

The Founders
You’ll join a world-class founding team with deep technical and leadership experience:
Founder 1 was the lead engineer at Imperial’s Karman Space Programme, shipped flight code to orbit, and led reusable rocket development.
Founder 2 built London’s first Hyperloop team from scratch, scaling it to 100+ engineers before launching and exiting multiple deep tech ventures.

Investment & Stage
Raised a multi-million-pound pre-seed round from SuperSeed, one of Europe’s top AI funds — early investors in companies like Magic.dev and AI Build.
Currently pre-MVP, with a working demo deployed and design partner pilots kicking off this year. Seed raise anticipated for Spring 2026.

What You’ll Build
As the Founding AI Engineer, you’ll work closely with the CTO to design and deploy the intelligence layer:
Architect agentic systems with memory, planning, and fallback logic
Orchestrate complex workflows using LangGraph, LangChain, or custom infrastructure
Build LLM interfaces to domain-specific tools (CAD/CAE, simulation platforms, etc.)
Implement retrieval systems, embedding pipelines, and evaluation tooling
Contribute to product design — defining how engineers interact with intelligent systems
Integrate into a backend stack built with Python and Rust, deployed via Docker/Kubernetes on AWS

What They’re Looking For
You’re a builder who thrives in ambiguity and wants to work on hard technical problems with world-changing upside.
1–3 years of professional experience building production software (Python or Rust)
Hands-on experience with LLM APIs and frameworks like LangChain, LangGraph, Haystack, etc.
Comfortable designing workflows that interact with simulations, APIs, or file systems
Curious about physical systems - ideally with academic or project exposure to mechanical, aerospace, or robotics domains
High-agency mindset: student teams, open source, side projects, or technical competitions all count

The Setup
Location: Hybrid – 3–4 days/week in their Hoxton (London) office
Compensation: Top 1% percentile salary + equity available here
Culture: Technically elite, mission-first, and relentlessly product-focused

Interviews are happening now - for the chance to join as one of the founding members of a future unicorn, message me -