<aside> 💡 How to Apply: Does this role sound like a good fit for you? Email Donald at [email protected]. Include the role's title in your subject line, a cover letter and send along your CV or resume and any links that best showcase the relevant things you've done (LinkedIn, GitHub, etc)

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About Tiny Health

Tiny Health is the first precision microbiome wellness company dedicated to helping every person start — and stay — healthy for life. Founded in 2020 by microbiome scientists and physicians, we’re redefining personalized health through strain-level, clinical-grade microbiome testing.

Our platform uses shotgun metagenomics to uncover the root causes of gut and vaginal imbalances, empowering families and practitioners with actionable, evidence-based insights. Trusted by over 100,000 customers, Tiny Health’s mission is to make microbiome science accessible, preventive, and impactful — from the first 1,000 days to the last.

If you’re passionate about cutting-edge science, health innovation, and helping people live better lives, join us in shaping the future of precision wellness. Learn more at tinyhealth.com

The Role

We are looking for a Senior / Lead AI Engineer to join our Product & Engineering team. This role will focus on building and scaling production-grade AI systems that power Tiny Health’s consumer and clinician-facing products. You’ll work closely with our co-founder, product/design lead, and a small, high-performing engineering team to design and implement AI-driven features, pipelines, and infrastructure that drive meaningful health insights.

We are seeking someone who has hands-on experience deploying AI applications in production, beyond prototypes or personal projects. You should be comfortable owning end-to-end delivery — from model integration to infrastructure — and capable of operating independently in a fast-moving environment.

If you’re at the lead level, you’ll also help shape Tiny Health’s AI roadmap, set technical direction, and mentor engineers as we expand our AI capabilities.

Key Responsibilities

• Design, build, and maintain production-grade AI systems and APIs that power our products.
• Integrate and fine-tune models (LLMs, embeddings, or other ML architectures) for customer-facing and internal use cases.
• Own the full lifecycle of AI features — from research and prototyping to productionization, deployment, and monitoring.
• Collaborate closely with engineering, product, and science teams to scope and ship impactful AI-driven features.
• Design data pipelines, retrieval systems, and scalable infrastructure for inference and model serving.
• Ensure performance, observability, and reliability of AI components in production.
• (Depending on experience) Lead AI initiatives, guide architecture and system design decisions, and mentor other engineers.

Qualifications

Must-Haves:

• Proven experience building and deploying AI or ML systems in production at scale (not just prototypes or demos).