Senior AI/ML Engineer, Recare

• 8+ years of relevant industry experience, with a strong AI/ML background, at senior level or above
• Hands-on experience designing, shipping, and operating LLM-powered products (RAG, agents) in live production. Research projects and prototypes alone aren’t enough here; we want to hear about systems real users depended on. If your background is in productionizing traditional ML systems rather than LLMs, we still want to hear from you
• Hands-on experience with LLM evaluation, such as golden datasets, LLM-as-a-judge, or offline and online metrics, and with systematically improving prompts and models
• Solid deep learning experience applied to real-world problems, with a focus on system-level integration rather than model training alone
• Strong coding skills across the stack. Ours includes Python, Go, GitHub Actions, and AWS, and you’re comfortable reading and fixing code outside the main codebase
• Proficiency in Python and at least one web framework (FastAPI, Django, Flask, …)
• Experience in environments where security and privacy are top priorities, such as PII redaction, LLM guardrails, and GDPR compliance
• Experience leading, mentoring, and supporting other engineers
• Experience shaping technical direction and making well-reasoned recommendations to product and business stakeholders, especially where strategy is still evolving
• Clear communication in English with technical and non-technical people alike, the ability to explain complex topics simply, and a track record of collaborating well across teams
• A solution-driven mindset: you analyze problems thoroughly and then drive them to resolution
• Not a perfect match on every point? We care more about shared drive and a real sense of mission than about ticking every box. If you want to dedicate yourself to meaningful work alongside a team that feels the same, we’d love to hear from you

Desirable

• As a senior member of the AI team, you will work on building cutting-edge agentic systems that work reliably in production environments where privacy and correctness are top priorities
• This is a hands-on role: you will own key AI initiatives end to end and work across products, since the hardest problems here span more than one team
• Our team is small but growing fast; we are highly independent and hold ourselves accountable for the quality of our work
• Technical excellence is expected, but our ideal colleague shares our passion for building impactful solutions that make it all the way into production
• As one of our most experienced engineers, you will mentor others, help shape our AI technical strategy, and work with product and business stakeholders to turn open questions into clear recommendations
• We want to improve society, not just brag about building fancy tech!
• Agentic applications: Build robust chat and generative AI applications on agentic frameworks, designing and optimizing core agent behavior: routing, tool calls, context management, grounding, and instruction-following. Every output is a draft until a clinician releases it, and the system is built for that
• Evaluation: Measure the real value of agentic systems through observability data, custom evaluation metrics, and user feedback, and use those results to improve prompts, models, and system design
• GenAI observability: Set up and improve logging, tracing, metrics, dashboards, and prompt management for our AI systems
• Deployment and integration: Develop and maintain the infrastructure that ships AI agents into REST APIs and web UIs, including containerization, orchestration, and API development
• Safeguarding health data: Embed security best practices and uphold compliance to protect sensitive health information
• Technical direction: Track new AI developments, turn the promising ones into production-ready implementations, and help set the direction of our AI work