VP of Engineering
Job Summary
You will be the most senior engineer on the product and the person who decides how its year one you will write a large share of the code yourself. As the team grows you will take over technical leadership of the platform: architecture engineering standards and hiring. For the right person this is a clear path to CTO.
You will work directly with the founders and the model research team. You are the link between a frontier model and a product that safety-critical engineers rely on.
Architecture: frontend backend data and infrastructure including build-vs-buy decisions.
Product delivery: ship quickly with product and early users who are control and embedded engineers.
Model integration layer: inference serving prompt and context management tool use streaming evaluation hooks and fallbacks. New model releases plug in without a rewrite.
Trust workflows: traceability from requirements to code diffing and review test execution and audit trails so engineers can verify AI-generated code.
Engineering foundations: CI/CD observability security access control and cost control for GPU-backed workloads.
Enterprise readiness: SSO data isolation and on-prem or private-cloud deployment for regulated industries.
Team: hire mentor and lead the first engineers and define how they work.
Must have
10 years building and shipping production software with real depth in both frontend and backend.
Strong TypeScript and React (or an equivalent modern frontend) plus at least one backend language: Python Go or TypeScript/Node.
Founding lead or principal engineer on a product taken from early stage to paying customers.
LLM features shipped to production: model APIs or self-hosted inference streaming evaluation and cost/latency trade-offs.
Cloud skills on AWS GCP or Azure plus containers and infrastructure as code.
Sound architectural judgement: you know when to move fast and when a shortcut costs too much.
Experience hiring and leading engineers or a clear appetite to do so.
Clear written and spoken English and comfort working with founders researchers and customers.
Nice to have
Compliance exposure: SOC 2 ISO 27001 or FedRAMP.
Developer tools IDEs code editors (Monaco VS Code extensions) or code analysis tooling.
Serving custom or fine-tuned models (vLLM TensorRT-LLM Triton) and GPU infrastructure.
Rust or C/C.
Selling to and deploying in regulated or security-conscious enterprises.
CTO-level ownership of a product where frontier AI meets real-world engineering.
A clear path to the CTO role as the company grows.
Competitive salary and meaningful CTO-level equity.
Direct work with a founding team that combines AI research with hands-on experience building high-voltage and electric drive systems.
Hybrid working from the London office with a full benefits package.