What are the responsibilities and job description for the Resident Founding Engineer position at Life Science Entrepreneurs?
We’re work with pre-seed, stealth-stage startups building next-gen AI systems that understand user workflows, adapt to context, and create real leverage. We're working with both proprietary datasets and cutting-edge open-source models to build intelligent, workflow-aware applications.
This is an opportunity to get in early and help build something truly transformative. We’re looking for a Founding Engineer, someone deeply technical, product-minded, and ready to take full ownership from backend to model to UX.
What You’ll Do
- Architect and build workflow-driven AI applications using full-stack tools (React, Node/Python, etc.)
- Fine-tune and deploy language models (LMs) on proprietary domain-specific data
- Design pattern recognition systems that evolve with user interaction and feedback
- Own end-to-end features — from whiteboard to production
- Build internal tools, data pipelines, and model evaluation systems
- Work directly with the founder on product roadmap, tradeoffs, and go-to-market
You Might Be a Fit If You
- Have meaningful years of experience across full-stack engineering, ML/AI, or systems architecture
- Have hands-on experience with LLMs — fine-tuning, deployment, prompt design, etc.
- Can design and implement complex workflows, not just UI
- Have worked with vector databases, RAG pipelines, or agentic models
- Think in systems, patterns, and user-centric outcomes
- Want to own core technology and shape the product from day one
- Are excited to move fast, wear multiple hats, and help build something meaningful
Tech Stack (Flexible)
- React / Next.js, Node.js / Python
- Postgres, Redis, Supabase
- Hugging Face, Ollama, LangChain, Pinecone
- Custom datasets, embedding models, cloud infra (GCP/AWS)
What You’ll Get:
- Equity — meaningful ownership from day one
- Creative technical freedom — full influence on architecture, stack, and product
- Work directly with a product-obsessed founder in a high-velocity environment
- Access to cutting-edge LLM tools, compute, and experimentation budget
- Opportunity to build a generational product and early team