Senior AI Product Engineer (Growth and Transformation)

Join our team as a Senior AI Product Engineer, where you'll own the technical direction of our personalization and data platform. You'll design and ship product features, build AI into the platform, multiply the team's output, and raise the engineering bar. This role requires expertise in TypeScript, Go, React, and AI-native development practices. Enjoy a hybrid schedule, flexible PTO, family support, mentorship culture, purpose and community, and world-class wellness benefits.

• Assumer la direction technique de la plateforme de personnalisation et de données, en veillant à l'évolution de l'architecture et à l'intégration de l'IA.
• Concevoir et expédier des systèmes multi-agents, en décomposant le code multi-langue en modules accessibles par l'IA.
• Utiliser des outils de codage agentique pour améliorer la productivité de l'équipe, en automatisant les tâches répétitives et en partageant les gains de productivité.
• Expert in TypeScript (frontend and backend) and production-grade Go for high-performance services
• 6+ years of software engineering experience with a track record of technical leadership on complex systems
• Strong React and modern frontend architecture experience
• An established AI-native development practice: agentic tools are part of your daily workflow, with results to show for it. Faster delivery, fewer manual steps, higher output
• Hands-on experience with LLM APIs (Anthropic Claude preferred): prompt engineering, tool use, structured outputs, streaming, context management
• Solid understanding of RAG architecture: vector stores, chunking strategies, embedding models, reranking, eval loops
• Experience with CI/CD, Terraform, and AWS in a production engineering context
• Experience building and shipping agentic systems in production: multi-step tool-calling agents, orchestration pipelines (LangGraph, LangChain, AutoGen, CrewAI, or custom)
• Familiarity with agentic coding CLI tools and workflow automation that encodes team patterns at the repo level
• Knowledge of MCP (Model Context Protocol) and experience building or integrating MCP servers
• Experience with code intelligence: AST parsing, static analysis, code graph construction
• Background in developer platform or internal tooling engineering
• Familiarity with event-driven architectures, message queuing (Kafka, SQS), and distributed systems patterns
• Experience with eval frameworks: RAGAS, LangSmith, Braintrust, or custom evaluation infrastructure
• Experience with data platforms, ETL pipelines, or personalization systems at scale
• Active contributions to open source or technical community leadership
• You stay current on model releases, agent design patterns, and emerging frameworks because you’re genuinely interested, not because someone assigned it
• Your first instinct when facing toil is: can an agent handle this?
• You treat repetitive engineering work as a problem to solve, not a cost of doing business
• You balance velocity with rigor: you ship fast, think in systems, and don’t create hidden debt