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For Companies At a Glance
- Tasks: Design and manage infrastructure for cutting-edge AI research and product engineering.
- Company: Join a pioneering AI startup focused on superintelligence and agentic capabilities.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with world-class talent in a fun, multicultural environment.
- Why this job: Be part of a dynamic team shaping the future of AI technology.
- Qualifications: Experience in observability, modern programming languages, and cloud systems.
The predicted salary is between 60000 - 80000 £ per year.
About HH 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
Contact Detail:
H Company Recruiting Team
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 on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to infrastructure and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and scenarios relevant to the role. Practice explaining your thought process clearly; it’s all about showing how you tackle problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Member of technical staff (Infrastructure) - London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with observability tools and programming languages like Python or JS/Typescript, as these are key for us at StudySmarter.
Show Your Passion for AI: Let us know why you’re excited about working in AI and how you align with our mission. A genuine interest in pushing the boundaries of technology will definitely catch our eye!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences relevant to the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role you’re interested in!
How to prepare for a job interview at H Company
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of observability and monitoring tools like Datadog, Prometheus, and Grafana. Be ready to discuss how you've used these in past projects, as well as your experience with programming languages like Python or JavaScript/TypeScript.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in infrastructure design or deployment. Think about times when you had to ensure reliability and scalability, and be ready to explain your thought process and the outcomes.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with public cloud services like AWS, Azure, or GCP, make sure you understand their architectures and best practices. You might be asked about your experience with distributed systems, so have some examples ready.
✨Emphasise Collaboration and Learning
This company values openness and teamwork, so be prepared to discuss how you've collaborated with others in previous roles. Highlight any experiences where you contributed to a learning environment or helped others grow, as this aligns with their culture.