H Company

A leading AI startup seeks a Senior Engineer to design and develop innovative agents in AI research. The role involves implementing scalable systems, collaborating with engineers and researchers, and mentoring team members. The ideal candidate holds a PhD and has significant experience leading AI projects with a strong focus on practical applications of Reinforcement Learning. This hybrid role requires being in office three days a week and is located in London, offering opportunities for career growth and a competitive salary.

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.

H Company is seeking to strengthen its Infrastructure team to enable researchers and engineers to access robust, scalable infrastructure. You will help build the platform powering our agent development and public services. Hybrid role, based in Paris or London, with an expectation to be in the office 3 days a week. You will contribute to end-to-end infrastructure, from foundational models to public services, in a fast-growing AI startup.

H is hiring to advance agentic AI by building and refining large language and vision-language models. You will lead research and engineering efforts across data pipelines, backends, and multi-node distributed training to push capabilities in complex environments. The role emphasizes SFT, RLHF/RLVR and reward modelling, with a focus on practical deployment and cross-functional collaboration in a hybrid London/Paris setting.

H Company seeks a Research Engineer to enhance its model inference and serving capabilities. This role involves building and operating the inference stack for multimodal models and improving performance across the stack. The ideal candidate should have strong software engineering skills, proficiency in Python, and experience with deep learning frameworks like PyTorch. Working in a hybrid model based in Greater London, you will collaborate with a dynamic team at the forefront of AI advancement.