At a Glance
- Tasks: Design and manage infrastructure for cutting-edge AI research and product engineering.
- Company: Join a pioneering AI startup dedicated to responsible innovation.
- Benefits: Competitive salary, professional growth, and a dynamic multicultural team.
- Other info: Hybrid role with opportunities for continuous learning and career development.
- Why this job: Shape the future of AI while collaborating with world-class talent.
- Qualifications: Experience in observability, modern programming languages, and cloud systems.
The predicted salary is between 60000 - 80000 £ per year.
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.
Key Responsibilities
- Designing and managing the infrastructure to support research efforts in Model and Agent development including 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, ...)
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.
Member of technical staff (Infrastructure) - London employer: H Company
H Company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the fast-paced AI sector. With a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to work alongside talented professionals in either Paris or London, all while enjoying the flexibility of a hybrid work model. Join us to be part of a mission-driven team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Member of technical staff (Infrastructure) - London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to infrastructure and AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at H.
We think you need these skills to ace Member of technical staff (Infrastructure) - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your experience with observability tools and programming languages like Python or JS/Typescript, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to mention them. We love seeing practical applications of your skills, especially in areas like infrastructure management or ML Ops.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at H Company
✨Know Your Tech Inside Out
Make sure you’re well-versed in observability and monitoring tools like Datadog, Prometheus, and Grafana. Brush up on your programming skills, especially in Python or JS/Typescript, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles, particularly around infrastructure design and management. Think of specific examples where you’ve improved system reliability or scalability, as this will resonate with the team’s goals.
✨Understand Their Mission
Familiarise yourself with H's vision of pushing the boundaries of superintelligence. Be ready to articulate how your skills and experiences align with their mission of building AI safely and responsibly, showing that you’re not just a techie but also a cultural fit.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding collaboration and learning.
