Jack & Jill
Founding Engineer, Agent Systems at Helmguard
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
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Job Title
Founding Engineer, Agent Systems
Salary
Not Disclosed
Company Description
Helmguard.ai is a pre-Series A London startup building agent-native risk infrastructure, backed by top UK/US investors and alumni from Meta, SpaceXAI, and Palantir. Founded by Palantir and Stanford/Oxford experts, they have reached seven-figure revenue within months of launch and secure multi-year contracts with global financial and healthcare enterprises.
Job Description
You will own the agent platform, transforming frontier model calls into production-grade enterprise features for high-stakes risk management. As a founding engineer, you’ll build the orchestration, evals, and reliability infrastructure that allows AI agents to act as peers to domain experts, setting the standard for AI quality and safety at scale.
Location
London, UK
Why this role is remarkable
- Join a high-growth startup that achieved seven-figure revenue months after launch, backed by tier-one investors and tech heavyweights from SpaceXAI and Palantir.
- Experience the outsize impact and influence of a founding-team role, with significant pre-Series A equity upside and a culture of radical ownership.
- Work at the extreme frontier of AI, pushing APIs so hard you'll collaborate with labs like Anthropic to resolve core engine bugs.
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What You Will Do
- Architect and build agent scaffolding including tool use, context management, sandboxing, and robust prompt-injection defenses for enterprise-grade security.
- Develop sophisticated evaluation infrastructure for high-stakes outputs, utilizing LLM-as-judge frameworks and regression testing to ensure peer-level correctness.
- Engineer reliability systems including custom retries, circuit breakers, and prompt versioning to turn experimental model outputs into dependable production actions.
The ideal candidate
- Proven backend engineering experience in TypeScript with at least 1-2 years of shipping production-grade LLM features and multi-step agent orchestration.
- Strong systems thinking regarding asynchronous queues, idempotency, and the ability to curate datasets for evaluating fuzzy, high-stakes compliance policies.
- A self-starter comfortable owning AI quality end-to-end, possessing the technical conviction to say "no" when features don't meet rigorous safety bars.
Who are Jack & Jill?
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
How does this work?
- 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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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