Join Calibre’s founding team to build a new class of products supercharging AI-native certification. You will own the full stack, engineering reliable agent systems with sophisticated evals and safeguards. This role demands language-agnostic development and deep LLM integration, driving the frontier of AI security and trust from discovery to production.
Product Engineer at Calibre
Calibre is solving the fundamental challenge of the AI era: how do we trust autonomous systems? Founded by ex-Palantir technical leaders and backed by $3.3M from top SF VCs, they are hiring a founding Product Engineer to build the world's first AI-native certification platform. This is a rare chance to own the full stack and engineer the safety harnesses and evals that will secure the future of the AI economy. If you are a language-agnostic engineer with deep agent experience and a desire for high ownership, this London-based founding role offers up to 1% equity and a mission to define AI reliability.
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Location
London, United Kingdom
Compensation
Up to £150k + 1% Equity
Company
Calibre
Role overview
Calibre is transforming the £190B TIC industry, the trust backbone of global commerce.
Every product you touch and system that keeps you safe relies on certification. Yet, this entire industry is broken. Incumbents like SGS and Bureau Veritas were built in the 1800s and still run on manual document checks and Excel, leading to months-long delays, massive inefficiency, and razor-thin margins.
We are rebuilding this industry from the ground up with AI-native agentic systems that can complete audits in days, not months.
We were founded by two ex-Palantir technical co-founders who have spent years deploying enterprise AI agent workflows across 20+ industries. We are applying the Palantir FDE playbook to an industry that has been untouched by technology.
What you will do
- Own and ship high-velocity code across the entire stack, including front-end, back-end, and sophisticated AI-agent infrastructure.
- Design and engineer reliable agent systems, implementing harnesses, evals, and safeguards to ensure non-negotiable quality and hallucination containment.
- Manage products through their entire lifecycle, from initial discovery and first-principles system design to final production deployment and monitoring.
Who this is a fit for
- Demonstrates deep AI engineering expertise, specifically building agent harnesses, tool design, sandboxing, and performance optimization for LLM-based systems.
- Possesses 2+ years of experience in high-growth startups, holds a top-tier CS degree, or has solved complex AI infrastructure and compliance problems.
- Operates as a language-agnostic product engineer who uses LLMs as a force multiplier and prioritizes impactful user outcomes over technical vanity.
Why this role is remarkable
- Join a founding team of ex-Palantir technical experts and AI researchers backed by $3.3M from premier San Francisco venture capital firms.
- Solve the critical trust gap in AI by building the infrastructure required to certify increasingly autonomous and complex systems for enterprise use.
- Enjoy significant ownership and high autonomy, with up to 1% equity, while working on frontier problems in AI infrastructure and security.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Calibre wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.