AI Engineer

Tiny Health is advancing lifelong health, from the first 1,000 days to the last, and addressing chronic disease through precision microbiome science. Founded in 2020 and built by microbiome scientists and physicians, our testing platform reveals whether your microbiome is trending toward resilience or imbalances using shotgun metagenomics, proprietary AI, and one of the world's largest longitudinal datasets. Trusted by families and health practitioners alike, our research-backed gut and vaginal tests are redefining the microbiome as a cornerstone of personalized health through every life stage. Learn more at tinyhealth.com and poweredbytiny.com.

We are looking for an 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.

• 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.

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

• Deep understanding of model integration workflows — from inference pipelines to prompt engineering, fine-tuning, or RAG setups.

• Strong backend engineering background (Python or Node.js preferred).

• Experience designing AI architectures (e.g., hybrid retrieval systems, multi-model orchestration, or embeddings).

• Experience with AWS cloud infrastructure and data pipelines.

• Solid grasp of API development and system architecture for scalable applications.

• Comfortable working independently and driving execution in a startup environment.

• Experience integrating LLMs into production products (OpenAI, Anthropic, Vertex AI, etc.).

• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma).

• Experience with observability, monitoring, and evaluation for AI systems.

• Experience leading projects or mentoring engineers.

• Prior experience in healthtech, biotech, or working with sensitive health data.

• A mission that actually pulls people in
  We make the microbiome measurable and actionable at every life stage, and real people write in to say it's life-changing.

• Remote-first, real overlap
  Our FTEs are based in North America and work core hours from 9am–6pm CST, shiftable by up to two hours either way — start at 7am or 11am, wrap at 4pm or 8pm.

• Written first, huddle second, meet last
  Default to a clear Slack post, huddle when a thread stalls, and meet only to make a real decision.

• Fast, but never sloppy
  Do the two-month thing in two weeks, then check the work—shipping errors is rework, not speed.

• Shape what we build, not just how we build it
  There's no playbook waiting for you, so write it—and bring the alternative, not just the objection.

• Day One mentality
  Fewer titles and layers; process is a guardrail where it counts, never the reason something didn't ship.

• No hidden agendas
  Numbers, misses, and feedback are shared openly and in real time, so you always know where you stand.

• High standards, genuinely fun people
  Take the work seriously and ourselves much less—high-performing and fun to be around is the hiring bar.

• Is this pace for you?
  Venture-scaled and on a steep trajectory, with intensity in spikes, fiercely protected flexibility, and faster growth than anywhere else.

1. Learn Fast, Get Better - Find the root cause, not just the fix, and get better every time

2. Be Relentlessly Resourceful - Dig for the answer, move fast, and know when to ask for help

3. Act Like an Owner, Be Hungry to Win - Act like it’s your company, and do whatever it takes to win

4. Act with Honesty and Empathy - Say what’s true, and say it with care

5. Delight People by Anticipating Their Needs - Solve the problem, then get two steps ahead of it