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.

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We are looking for an AI Engineer to join our Product & Engineering team. You'll work closely with our founders, product and design teams, and a tight-knit engineering team to build the AI systems behind our consumer and clinician-facing products.

This is a hands-on role focused on taking AI features from idea to production and keeping them dependable once they are live. Because our products sit close to people's health decisions, the work is less about making a model sound convincing and more about building systems whose answers are grounded in a customer's own data and in science our team has reviewed.

You'll partner with engineers, product, and our science and clinical teams to turn complex microbiome science into answers people can act on.

We're looking for someone who is energized by ambiguity, has shipped AI features that real users depended on, and cares about why a system got something wrong rather than just making the symptom go away. You'll have real ownership over what you build, and room to grow your scope as our AI capabilities expand.

• Design, build, and maintain production AI systems and APIs that power our products.

• Own AI features end to end, from prototyping and evaluation through deployment, monitoring, and iteration.

• Build and improve retrieval and grounding systems so our answers stay accurate and traceable to their sources.

• Develop the evaluation and quality tooling that tells us whether a change made an AI system better or worse.

• Ensure the performance, reliability, and observability of AI components in production, including triaging and resolving quality issues as they surface.

• Collaborate with our science and clinical teams to translate reviewed microbiome science into product experiences people can trust.

• Partner with product, design, and engineering to scope and ship high-impact AI-driven features.

• Design data pipelines and inference infrastructure that scale as our usage grows.

• 4+ years building and shipping software, including hands-on experience taking ML or LLM-backed features to production. You can walk us through what broke once real users depended on it, and what you did about it.

• Solid machine learning fundamentals. You understand how the models you work with actually behave and can reason about their limits, rather than treating them as black boxes.

• Working knowledge of retrieval-augmented generation: embeddings, chunking, retrieval quality, and the reasons a retrieval system returns the wrong thing.

• Strong backend engineering fundamentals, with experience in Type Script or Python.

• Ability to debug non-deterministic systems, isolating whether a bad output came from retrieval, prompting, tool use, or post-processing.

• Treats evaluation as part of building, with experience measuring AI quality rather than relying on spot checks.

• Experience with AWS and serverless architectures.

• Strong understanding of API development and system design.

• Comfortable driving work forward in a fast-paced, remote startup environment.

• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Chroma, or…