I’m supporting a pre-seed, AI-driven startup (in stealth mode but well-funded with £1M+ raised and paying customers) who are hiring their first founding engineer.
They’re building an AI automation platform that pulls data from tools like Slack, docs, git repos, and tickets to help teams automatically identify and structure engineering work. It replaces a slow, manual, consultancy-driven process in a market worth £7B+ annually in the UK.
The RoleWork directly with the founder/CTO to:
Build and scale complex data pipelines
Develop ML/LLM-driven analysis and automation systems
Architect the next generation of an AI-native product
Own major pieces of the codebase from day one
Shape the engineering culture and future hires
Python
LLMs + ML models (provider-agnostic)
20+ stage workflow/pipeline system (expanding)
Heavy focus on automation, compliance, and unstructured data processing
Solid ML/AI engineering capability (not just prompt work)
Python first, but Node/TS or Go is helpful
Built with LLMs before (agentic systems, RAG, model evals, etc.)
Experience with data-heavy or workflow-based systems
Curious, ambitious, and excited by early ownership
£80–120K DOE
Meaningful equity
London (hybrid)
Backed by top-tier investors & part of a high-profile international founder programme
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