AI Engineer

Posted 5 Hours Ago
2 Locations
Remote
Entry level
Healthtech
The Role
Build and scale production AI systems, APIs, data pipelines, retrieval systems, and model-serving infrastructure for consumer and clinician-facing health products. Integrate and fine-tune LLMs and other models, manage AI feature lifecycles from prototyping through monitoring, and ensure reliability and observability. Collaborate with engineering, product, and science teams. More senior candidates may lead AI architecture, roadmap development, and mentoring.
Summary Generated by Built In
About Tiny Health

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.

The Opportunity

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.

What You’ll Do
  • 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.

QualificationsRequired
  • 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.

Preferred
  • 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.

How we work
  • A mission that actually pulls people in
    Most people here could be doing something easier. They’re not, because this work makes the microbiome measurable and actionable at every life stage — and the results land on real people who write in to tell us that we are life-changing to them. That feedback loop is the perk. It’s not just a job.

  • Remote-first, real overlap
    We’re a very diverse, international team, although we only hire FTEs in North America. Core hours are 9am–6pm CST, shiftable by up to two hours either way — start at 7am or 11am, wrap at 4pm or 8pm. Pick your window; just be findable in it.

  • Written first, huddle second, meet last
    Default to a clear Slack post: say whether you need a decision, an approval, or nothing at all. When a thread starts ping-ponging, jump into a huddle — ten minutes of voice beats forty of paragraphs. Meetings are the expensive option, so each one needs a decision to make, a preread or strawman sent ahead, and only the people who can actually make that call.

  • Fast, but never sloppy
    We ask “how do we do the two-month thing in two weeks?” — and then we check the work. We’re a health company: results, science, and anything a customer or practitioner touches get a second set of eyes, always. Moving fast and being careful aren’t in tension here; shipping errors isn’t speed, it’s rework.

  • Shape what we build, not just how we build it
    There’s no playbook waiting for you — you’ll write it, and that’s most true the more senior you are. Ideas get judged on whether they’re executed right, not on who raised them, and the person closest to the problem is usually the one who should be proposing the fix. Bring the alternative, not just the objection.

  • Day One mentality
    Fewer titles, fewer layers, fewer moving parts. Real process exists where it counts — data, lab, science, compliance, money — and we follow it, but process is a guardrail, not a destination. Process bloat is never the reason something didn’t ship.

  • No hidden agendas
    Transparency mean you’ll always understand how decisions are being made, especially at the top. We spend less time on politics and more on impact. Numbers, misses, and hard calls get shared openly. Feedback works the same way: in real time, not stockpiled for a review cycle. It’s a no-surprises culture: you should always know where you stand, and if you don’t, ask.

  • High standards, genuinely fun people
    Our CEO has been described as goofy but serious, direct but likable — and that sets the temperature. We take the work seriously and ourselves much less so. High-performing and fun to be around isn’t a contradiction; it’s the hiring bar.

  • Is this pace for you?
    We’re a venture-scaled company on a steep trajectory, and the pace is part of the job. There’s no deep bench to absorb the overflow, which is exactly why the scope here is bigger than it would be anywhere else at your level. We protect flexibility fiercely — more than half of us have kids — and ask for intensity in spikes, not as a constant grind. There’s no defined ladder. Perform, and you’ll move faster here than anywhere else.

Our Values
  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. Think Like an Owner, Act with Urgency - 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

Skills Required

  • Proven experience building and deploying AI or machine learning systems in production at scale
  • Deep understanding of model integration workflows, including inference pipelines, prompt engineering, fine-tuning, or RAG
  • Strong backend engineering background with Python or Node.js
  • Experience designing AI architectures, such as hybrid retrieval systems, multi-model orchestration, or embeddings
  • Experience with AWS cloud infrastructure and data pipelines
  • Strong API development and scalable system architecture skills
  • Ability to work independently and drive execution in a startup environment
  • Experience integrating LLMs into production products, including OpenAI, Anthropic, or Vertex AI
  • Familiarity with vector databases such as Pinecone, Weaviate, FAISS, or 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
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The Company
HQ: Austin, TX
27 Employees
Year Founded: 2020

What We Do

Tiny Health is the first science-based platform that profiles a mother and baby's microbiomes in the first 1,000 days that is a critical window for the infant's lifelong health. Unfortunately, certain diets, lifestyles and medical interventions (while life-saving) have unintended consequences by disrupting the natural colonization of an infant's gut microbiome in early life. This potentially contributes to chronic diseases such as eczema, food allergies, asthma, type I diabetes, and obesity later in life, which affects hundreds of millions of people globally. Using at-home test kits, next generation sequencing, a proprietary knowledge base, and AI technology, we provide key insights during this critical period when the microbiome is developing rapidly and highlight risk factors linked to microbial imbalances. We generate personalized, actionable recommendations, and early interventions to hopefully prevent health issues linked to infant gut development and give the child the best possible start in life.

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