1 month ago
London, United KingdomStaff+
Responsibilities
- Build and own the core data annotation and workflow platform from expert interfaces and task assignment through quality control and dataset delivery.
- Design systems for expert onboarding, task routing, review workflows, and quality assurance at scale.
- Build AI-integrated pipelines including LLM-assisted annotation, automated checking, and model-in-the-loop workflows.
- Partner with founders and domain operators to convert manual processes into reliable, scalable software.
- Make product and engineering decisions, scope and prioritize work, and ship in ambiguous, fast-moving situations.
- Help define tooling choices, engineering standards, and product direction as the team grows.
Requirements
- Demonstrated ability to identify what needs building, make decisions under ambiguity, and ship without complete specifications.
- Comfort moving across product engineering, infrastructure, data systems, and AI tooling while owning problems end to end.
- Current practical use of LLMs and coding agents in software development.
- Familiarity with modern product stacks such as React, Next.js, TypeScript, Node.js, or FastAPI.
- Experience with internal tools, annotation platforms, workflow software, operations-heavy products, AI products, LLM tooling, or evaluation workflows is desirable.
- Interest in finance, healthcare, or legal domains and previous early-stage or founding-engineer experience are desirable.
Benefits
- On-site work in London.
- Competitive compensation comprising salary and equity.
Tech Stack
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