Staff AI Engineer

Join Strava, a leading fitness platform, as a Staff AI Engineer. In this role, you will be at the forefront of Strava's AI strategy, building the shared tooling that enables product teams to develop GenAI-powered features at scale. You will work closely with product engineers, product managers, and data teams to translate cutting-edge AI capabilities into production-ready platforms. This is a high-leverage technical role that combines AI engineering, platform engineering, and server engineering.

• Concevoir et construire la plateforme GenAI + Discovery, y compris les systèmes de gestion des outils, d'orchestration et d'évaluation.
• Développer des interfaces en libre-service et des chemins dorés pour permettre aux équipes de produits de créer des fonctionnalités alimentées par l'IA sans expertise approfondie.
• Diriger des projets de bout en bout, de l'architecture à la mise en production, en garantissant la fiabilité, la latence et l'efficacité des coûts des capacités d'IA.
• Deep curiosity about the evolving GenAI landscape: model capabilities, agent frameworks, multimodal systems: and strong judgment on where and how to apply them to real product problems
• Strong technical leadership: ability to lead multi-team projects, define technical direction, and grow engineers at multiple levels
• Proficiency in search systems (Elasticsearch/OpenSearch, Vector Search, etc)
• Hands-on experience building with large language models in production: agentic workflows, prompt and context engineering, RAG architectures, embedding pipelines, fine-tuning workflows, or LLM evaluation frameworks and tools like Langchain
• 5+ years of experience building and operating complex, production AI or backend systems at scale, with a track record of decomposing large technical problems into well-scoped execution across teams
• Demonstrated experience building AI platform tooling or developer-facing infrastructure ideally for LLM or ML systems with a strong instinct for API design, versioning, and self-serve patterns
• Strong communication and collaboration skills, with the ability to align cross-functional partners around technical direction and build organizational trust in the platforms your team ships
• Proficiency in backend service development on cloud environments (AWS preferred), using Python, Go. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker)