AI Engineer

Tiny Health is building production-grade AI systems that support both consumer and clinician-facing products. In this AI Engineer role (remote in Texas), you will design and scale end-to-end AI capabilities, spanning integration, deployment, and ongoing monitoring. Depending on experience, you may also shape the AI roadmap and mentor engineers as the team grows.

What you’ll do

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

What you bring

• Proven experience building and deploying AI or ML systems in production at scale, not only prototypes or demos.
• Deep understanding of model integration workflows, including inference pipelines, prompt engineering, fine-tuning, or RAG setups.
• A strong backend engineering foundation with Python or Node.js preferred.
• Experience designing AI architectures such as hybrid retrieval systems, multi-model orchestration, or embeddings-based approaches.
• Experience with AWS cloud infrastructure and data pipelines.
• Solid API development and system architecture skills for scalable applications.
• Comfort working independently and driving execution in a startup environment.
• Experience integrating LLMs into production products, including platforms such as OpenAI, Anthropic, or Vertex AI.
• Familiarity with vector databases including 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.

Technologies

• Python, Node.js
• LLMs, embeddings
• AWS
• API development
• Prompt engineering, fine-tuning
• RAG
• OpenAI, Anthropic, Vertex AI
• Pinecone, Weaviate, FAISS, Chroma

How the team works

Tiny Health is remote-first with overlapping hours across North America. Core hours run from 9am to 6pm CST, with flexibility to shift by up to two hours either way. Communication is written-first, with huddles used when threads stall and meetings reserved for real decisions.

The team moves fast without being sloppy, emphasizing shipping quality and treating rework as a cost of error. There is an expectation to shape what gets built, using a Day One mentality with fewer titles and layers, and process treated as a guardrail where it counts. Feedback and results are shared openly and in real time, and the bar is both high-performing and enjoyable.

Values

• Learn Fast, Get Better - Find root causes, not just fixes
• Be Relentlessly Resourceful - Move fast and know when to ask for help
• Act Like an Owner, Be Hungry to Win - Take responsibility for outcomes
• Act with Honesty and Empathy - Say what’s true with care
• Delight People by Anticipating Their Needs - Solve the problem and go further