AI Engineer

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Tiny Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🏥 Healthcare

🛍️ eCommerce

👥 B2C

💰 $8.5M Series A - Tiny Health on 2024-03

Healthcare • eCommerce • B2C

Tiny Health is a consumer health brand that appears to offer at-home microbiome testing and related health products through an online shop. The provided website CSS references “microbiome,” “home_testing_step_image,” shop item pricing, and home/shop sections, indicating Tiny Health provides home testing services and sells consumer health products via its website. The site styling also shows customer testimonials and founder sections, consistent with a direct-to-consumer wellness company.

📋 Description

• 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.

🎯 Requirements

• 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.) preferred. • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) preferred. • Experience with observability, monitoring, and evaluation for AI systems preferred. • Experience leading projects or mentoring engineers preferred. • Prior experience in healthtech, biotech, or working with sensitive health data preferred.

🏖️ Benefits

• Remote-First Company: our working hours follow a 2 hour window from 9 am - 6 pm CST • Driven by an ambitious mission: we're reinventing how we should think about wellness from the first 1,000 days to the last • Shape what we build, not just how we build it: we prioritize experimentation with taking ownership, and moving fast • No hidden agendas: we operate with full transparency because when everyone's working from the same honest picture, you spend less time on politics and more time on impact • High standards, human culture: we hold ourselves to a high bar and do it alongside a team who can laugh at themselves and make the hard days genuinely enjoyable