Job Description
Job description
About Eubi Health
Eubi Health is an AI-powered longevity platform helping individuals reverse chronic conditions and extend their healthspan through personalized, protocol-driven guidance. We decode 100+ biomarkers, symptoms, and lifestyle patterns using AI to deliver actionable daily health plans – no pills-first approach, just evidence-based interventions that work.
We’re building at the intersection of clinical science, data, and human longevity, with early traction and a community that's already seeing real transformation.
What You’ll Do
As an early AI engineer, you'll be instrumental in building the intelligence layer that powers Eubi's real-time health guidance engine. Your work will directly impact thousands of lives (and eventually, millions) through:
• Designing and training models for lab report parsing, supplement/protocol recommendation, and health pattern detection
• Fine-tuning and integrating LLMs (GPT, Mistral, Claude, etc.) for personalized guidance, symptom analysis, and lifestyle coaching
• Building and optimizing RAG pipelines using LangChain + vector stores for evidence-backed recommendations
• Developing intelligent agents that can reason over biomarkers, goals, and medical literature
• Collaborating with clinical, engineering, and product teams to ship safe, explainable, and impactful features
• Staying on the frontier of health AI research and bringing innovation into production
You Might Be a Fit If You Have:
• 2–6 years of experience in applied ML or AI system design
• Strong Python fundamentals with experience in PyTorch, Hugging Face, or LangChain
• Hands-on experience with LLMs, vector embeddings, prompt engineering, or multi-agent systems
• Knowledge of biomedical data, FHIR, or clinical ontologies is a huge plus (but not required)
• An interest in health, biohacking, or personal longevity – or curiosity to learn
Why Join Us?
• Be part of a mission that matters – helping people reverse disease and reclaim health
• Work directly with the founder and a small, elite team on meaningful problems
• Shape the future of an AI-first health product from 0 → 1 → scale
• Get startup equity, flexibility, and ownership
• Build real solutions backed by science, not hype
