AI Engineer

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Tiny Health

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2020

🏥 Gesundheitswesen

🛍️ eCommerce

👥 B2C

💰 €8.500.000 Series A - Tiny Health im 2024-03

Healthcare • eCommerce • B2C

Tiny Health ist eine Verbrauchergesundheitsmarke, die anscheinend Mikrobiom-Tests und verwandte Gesundheitsprodukte für zu Hause durch einen Online-Shop anbietet. Die bereitgestellten Website-CSS-Referenzen "microbiome", "home_testing_step_image", Preise für Artikel im Shop und Abschnitte für Startseite/Shop deuten darauf hin, dass Tiny Health Tests für zu Hause anbietet und Verbraucherprodukte über seine Website verkauft. Das Website-Design zeigt auch Kundenbewertungen und Gründersektionen, konsistent mit einem Unternehmen, das sich direkt an Verbraucher im Wellnessbereich richtet.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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