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Member of technical staff (Infrastructure) - Paris

H Company

London, England, United KingdomRemoteJobNo compensation foundPosted 9mo agoVerified open 3 days ago

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At a glance

Compensation
No compensation found
Location
London, England, United KingdomRemote
Work Authorization
Not specified

Job overview

H Company is hiring a Member of technical staff (Infrastructure) - Paris. H is an AI startup focused on superintelligence and agentic AI. The Infrastructure team builds reliable, scalable platforms for researchers and product engineers, enabling model training, data pipelines, and public services. The role supports both internal research and client‑facing APIs while fostering a collaborative, multicultural environment.

Key focus areas include Design and manage infrastructure to support model and agent research, including training, data pipelines, and inference, Engineer client‑facing APIs and agent runtimes for multi‑tenant and on‑prem deployment scenarios, and Set up and maintain observability and monitoring strategies.

Important skills include Reliability, Data Engineering, Containerization, Kubernetes, Gitlab, and Teamcity. Preferred (not required): MLOps, Architecting Distributed Systems, Deploying Distributed Systems, and AWS.

Skills & qualifications

RequiredNice to have

Skills

ReliabilityData EngineeringContainerizationKubernetesGitlabTeamcityObservabilityMonitoringDatadogPrometheusGrafanaModern Programming LanguagePythonJS/TypescriptMLOpsArchitecting Distributed SystemsDeploying Distributed SystemsAWSAzureGCPOrchestration ToolsDockerInfrastructure as CodeCDKTerraformCICD ManagementGitHub ActionsGitLab CI

Full job description

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 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, ...).

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.

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