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Full-Stack Engineer at Calibre

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack & Jill
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 40000 - 60000 GBP Yearly GBP 40000.00 60000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Job Title

Full-Stack Engineer

Location

London, UK

Salary

Not Disclosed

Company Description

Calibre is an AI-native startup founded by ex-Palantir engineers that recently raised a $3.3M pre‑seed round to transform the £190B certification industry.

Job Description

Join Calibre as a founding full‑stack engineer to dismantle the archaic £190B TIC industry. Working alongside ex‑Palantir founders, you will build AI‑native agentic systems that replace manual document checks and Excel with automated audits. This role offers extreme ownership and the chance to apply the Palantir playbook to a foundational global market.

Why this role is remarkable
  • Work directly with two ex‑Palantir technical co‑founders to master the “FDE playbook” for deploying complex AI workflows in enterprise settings.
  • Join a well‑capitalized team with a $3.3M pre‑seed from top‑tier San Francisco VCs targeting a broken £190B global industry.
  • As a founding engineer, you will have total architectural ownership and influence, shipping critical code to real‑world customers from day one.
Responsibilities
  • Develop high‑velocity, full‑stack code across front‑end, back‑end, and sophisticated AI‑agent infrastructure using tools like Claude Code and Cursor.
  • Collaborate with founders to solve architectural challenges, specifically capturing human “tribal knowledge” into self‑improving, agentic AI systems.
  • Engage directly with design partners to translate complex manual certification processes into intuitive, automated digital solutions that solve real‑world problems.
Qualifications
  • A top‑tier programmer with 0‑3 years of professional experience and a strong first‑principles computer science background from a top university.
  • AI‑native developer who treats LLMs as a force multiplier and understands how to build robust frameworks around their inherent weaknesses.
  • Language‑agnostic problem solver with a portfolio of high‑quality personal projects or hackathon wins that demonstrate exceptional technical talent and high output.
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