Founding Engineer

Flowstate · Artificial Intelligence

unknown

Salary Range (USD)

$100k - $120k

Location

London, UK

Visa Support

Not mentioned

Funding Stage

Unknown

Job Responsibilities

  • • Build AI router and proxy
  • • Develop native macOS and Windows applications
  • • Create attribution infrastructure that connects AI activity back to work
  • • Build tools for understanding human‑AI collaboration
  • • Work across product, infrastructure, integrations, desktop apps, and AI systems

Required Skills

experience in early‑stage startupownershipfull‑stack developmentTypeScriptReactPostgresmacOS app developmentWindows app development

Engineering Culture & Tech Stack

TypeScriptReactPostgreSQL
ownership
fast-paced
ambiguous
early-stage

Raw Post

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Flowstate (London, UK) — Founding Engineer — TypeScript / React / Postgres / AI Flowstate (https://www.flowstate.inc) is building infrastructure for the emerging human + AI workforce. Companies are rapidly adopting Claude, ChatGPT, Cursor, Copilot and internal agents, but most still have very little idea what that AI is actually doing, what it costs, what work it contributes to or whether it is making the organisation better. We’re building the systems underneath that: an AI router and proxy, native macOS and Windows apps, attribution infrastructure that connects AI activity back to work and tools for understanding how humans and AI should operate together inside a company. We’re a small early-stage team and this is a genuinely broad founding engineering role. You’ll work across product, infrastructure, integrations, desktop apps, AI systems and whatever else needs building. We’re looking for someone who has worked in an early-stage startup before and actually enjoys the pace, ambiguity and ownership that comes with it. Details: - Location: London, UK - Working style: Hybrid, with regular time together in the office - Salary: £100k–£120k - Equity: 0.5%–1.5% - Benefits: Gym membership, breakfast and flexible hours - Role: Full-time Apply: https://www.flowstate.inc/careers/

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Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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