Principal Full Stack Engineer
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Job Location:
San Francisco, CA - USA
Yearly Salary:
USD 200000 - 350000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
Want to buildsystems that actually hold up under long-running AI workloads
Most agentic systems for science dont fail at the model layer. They fail because the infrastructure cant support long-horizon execution.
Youll join a team building autonomous AI agents that run full research cycles. Ingesting thousands of papers forming hypotheses running experiments and producing traceable outputs used by real scientific teams.
The challenge is making that work in production.
Youll own the systems behind it. APIs data pipelines and platform architecture designed for long-running workloads large-scale ingestion and iterative experimentation loops. This is full-stack in scope but backend in depth where system design decisions directly impact what the platform can do.
Youll be working across:
- Backend services in Python or Node building scalable APIs (FastAPI/REST)
- Data pipelines supporting agent execution and scientific workflows
- Cloud infrastructure (AWS/GCP) containerisation (Docker Kubernetes)
- CI/CD observability and reliability for systems under continuous load
This isnt a generalist full-stack role. Youll need to understand how systems behave under heavy data and compute demands and be comfortable making architectural trade-offs across distributed systems.
The team is small high-calibre and already running real workloads with revenue traction. Backed by $70M theyre building infrastructure that defines how AI is applied to scientific discovery.
Salary: $200000$350000 equity
Location: San Francisco (onsite)
Required Experience:
Staff IC
