About The Position

Futureproofing builds AI-native founding teams for companies creating new products, launching new ventures, or transforming existing businesses around AI. Our engineers work alongside founders, product leaders, data scientists, and business teams from problem definition through architecture, launch, and iteration. We’re looking for builders who can take ownership of ambiguous problems and turn them into excellent production products—not engineers waiting for a perfectly defined ticket.

Requirements

  • 5+ years of professional software engineering experience
  • Experience owning and shipping real production products
  • Meaningful experience building AI-powered products in production
  • Strong Python and/or TypeScript/JavaScript skills with comfort across the stack
  • Experience with modern AI architectures such as agents, tool use, RAG/retrieval, structured generation, and evaluation
  • Strong product judgment and comfort operating with significant autonomy
  • Clear communication with both technical and nontechnical stakeholders
  • Genuine curiosity about AI—you actively experiment with new tools and continuously evolve how you build

Nice To Haves

  • 0→1 experience
  • startup backgrounds
  • customer exposure
  • ownership beyond a narrow technical specialty

Responsibilities

  • Own AI products and features from problem definition through production
  • Work directly with founders, executives, and subject-matter experts
  • Design and build systems using LLMs, agents, retrieval, structured data, APIs, and traditional software
  • Make thoughtful tradeoffs across quality, evaluation, latency, cost, reliability, and complexity
  • Build evaluation and feedback loops that tell us whether AI systems are actually working
  • Move quickly from prototype to production without sacrificing engineering quality
  • Push back when a technical or product direction doesn’t make sense—and explain why
  • Use AI deeply in your own engineering workflow while applying strong judgment and guardrails
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