H Company
Member of technical staff (Infrastructure) - London

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About H
H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.
About the Team
The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job.
The team also ensures the underlying infrastructure for our public services is robust, reliable, and scalable.
Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Designing and managing the infrastructure to support
- Research efforts in Model and Agent development incl. training infrastructure, data pipelines, and inference.
- Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem).
- Setup and maintain observability and monitoring strategies.
Requirements
MUST HAVE
- Observability and monitoring (Datadog, Prometheus, Grafana, …)
- Good knowledge of a modern programming language (ideally Python or JS/Typescript)
NICE TO HAVE
- ML Ops or Data Engineering
- Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP)
- Containerization and orchestration tools (Docker, Kubernetes, …)
- Infrastructure as code (CDK, Terraform,...)
- CICD management experience (Github Actions, Gitlab CI, TeamCity,...).


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Location
Paris or London.
This role is hybrid, and you are expected to be in the office 3 days a week on average.
What We Offer
- Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
- Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
- Enjoy a competitive salary.
- Unlock opportunities for professional growth, continuous learning, and career development.
If you want to change the status quo in AI, join us.
“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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