What You’ll Do

1. Build the MVP (0 → 1)

• Design and develop our AI-powered oncology MVP (first 3 months)
  
• Work directly with clinicians to translate real-world needs into product features
  
• Rapidly prototype, test, and iterate based on feedback
  

2. Architect & Scale the Backend

• Design and implement backend systems (Python/FastAPI preferred)
  
• Integrate clinical data sources and external AI tools
  
• Evolve the system into a modular, scalable architecture
  

3. Develop AI Capabilities

• Build LLM-powered pipelines for:
  
  • Clinical document understanding (radiology, pathology reports)
    
  • Information extraction & structuring
    
  • Decision-support workflows
    
• Implement RAG pipelines and reasoning systems
  
• Work with models like OpenAI, Anthropic, Llama, Mistral
  

4. Own the Full Lifecycle

• Deploy and monitor systems in cloud environments (AWS, GCP, Azure, Render)
  
• Ensure data security, privacy, and compliance (GDPR, HIPAA)
  
• Continuously improve model performance based on real-world usage
  

5. Collaborate & Lead

• Work closely with clinicians and gather product feedback
  
• Conduct user interviews and iterate on workflows
  
• Potentially build and lead a small engineering team
  

What We’re Looking For

We care more about ownership and execution than checkboxes — but strong candidates will have:

Core Requirements

• 5+ years experience in software engineering (ideally 5–8 sweet spot)
  
• Strong backend experience (Python + FastAPI preferred)
  
• Proven experience building and shipping production systems
  

AI / LLM Expertise

• Experience with LLMs (OpenAI, Anthropic, or open-source models)
  
• Strong understanding of:
  
  • Prompt engineering
    
  • RAG pipelines
    
  • Information extraction from complex documents
    

Systems & Integration

• Experience building:
  
  • REST APIs
    
  • Data pipelines
    
  • Microservice architecture
    
• Strong backend integration skills (critical for this role)
  

Bonus (Highly Valuable)

• Healthcare / clinical data experience
  
• Knowledge of FHIR, HL7, or medical data standards
  
• Experience with vector databases (Pine cone, Weaviate, FAISS)
  
• Exposure to regulated environments (finance, health, etc.)
  
• Frontend/dashboard tools (Streamlit, React)
  

Why Compliance Matters

You’ll be working with:

• Radiology & pathology reports
  
• Patient evolution data
  
• Sensitive healthcare workflows
  

While current inputs are anonymised, future hospital integrations will require strict GDPR/HIPAA compliance - making security and privacy a key part of the system design.

Practical Details

• Remote: Europe or Americas (async-friendly)
  
• Start Date: May–June
  
• Contract: Full-Time
  
• Compensation: €80k–€90k (open to negotiation)
  
• Equity: Up to 5% (after 3 months probation period)
  
• Probation Period: 3 months (full-time)
  

Why Join

• Build real AI used by doctors in hospitals
  
• Work at the intersection of AI + healthcare + impact
  
• High ownership, fast execution environment
  
• Shape the future of the product - and the company
  
• Clear path to Founding Engineer → CTO
  
• Work alongside physicians and AI product leaders from world-class institutions, including Harvard University, Amazon and top pharma companies.
  

Who This Is NOT For

• Engineers who prefer highly structured environments
  
• Candidates without strong backend or LLM experience
  
• People who don’t want ownership or ambiguity