OpenHuman is building a decision platform that enables companies to preview the impact of high-stakes product and pricing changes before they go live. As a Founding AI Engineer, you will design the intelligence layer, building auditable LLM and agentic workflows that reason over messy data to provide testable, evidence-based forecasts.
Founding AI Engineer at OpenHuman
Join OpenHuman as a Founding AI Engineer and build a category-defining decision platform that helps companies preview the future. Move beyond basic chatbots to create auditable AI systems that model customer and market responses before high-stakes decisions go live. Based in London, you'll own the intelligence layer, designing agentic workflows and evaluation loops that turn messy data into testable forecasts. With meaningful founding equity and direct founder access, this is a rare opportunity to shape the architecture of a mission-critical AI startup from the ground up.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
OpenHuman
Role overview
Every decision that matters is a decision about people.
Yet we make them knowing almost nothing about the people themselves — reducing them to numbers, averages, demographics, to whatever was easy to count.
This has always been the limit: not that people are unknowable, but that we never had a way to understand them at the depth real decisions require. So we guessed — and the cost of guessing about people is paid by people.
We think that limit is ending.
We are building toward a world where the people affected by a decision are present in it, faithfully, before it is made — understood, not flattened into a statistic.
We believe people are knowable without being reduced, and that the largest questions of the coming century — how markets move, how institutions hold, how societies choose — come down to understanding human beings.
It is the most important problem we know of, and the most interesting.
We are assembling a small team across engineering, research, applied AI, and go-to-market.
If understanding people is the work you want to do, come build this with us.
What you will do
- Design and build production-grade LLM and agentic workflows that transform customer, market, and operational data into reliable reasoning contexts.
- Develop rigorous evaluation and quality-control systems for nondeterministic AI outputs, including tracing and replay frameworks for model comparison.
- Collaborate with founders to define how the platform measures prediction accuracy and trustworthiness against real-world business outcomes.
Who this is a fit for
- Brings 5+ years of software engineering experience with deep expertise in Python and recent hands-on work building production-level LLM or RAG systems.
- Possesses an evaluation-driven mindset, focusing on model failure modes, hallucination management, and statistical calibration of AI outputs.
- Demonstrates high agency in ambiguous startup environments, with the ability to turn customer problems into repeatable, production-ready AI workflows.
Why this role is remarkable
- Shape a category-defining AI product from the ground up, moving beyond chatbots to build a sophisticated decision intelligence platform.
- Solve deeply complex technical challenges involving reasoning under uncertainty, counterfactual analysis, and creating auditable AI systems that separate evidence from speculation.
- Join an early-stage team in London with direct founder access and high ownership over technical architecture and product direction.
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.
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What happens next?
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If your profile’s a match and OpenHuman wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.