GenBio AI - Full Stack Engineer

Full Stack Engineer

Palo Alto, CA

Engineering /

Full Time /

On-site

Are you willing to relocate if you do not live close to the local office of choice?
- Yes
- No
How soon can you move to the area of the local office?
- within 1 month after offer signed
- 1-3 month after offer signed
- 3-6 months after offer signed

Are you authorized to work in the country where this position is based?
- Yes
- No
If you don't have work authorization, will you require work authorization sponsorship?
- Yes
- No

Briefly describe the most relevant project you have worked on. Be sure to outline your specific contributions.

What is your experience level with building and deploying web services, including APIs, session management, and load balancing in Kubernetes?
- Advanced – I’ve independently built and deployed production web services with session handling, public APIs, and Kubernetes-based load balancing.
- Intermediate – I’ve contributed to projects involving web services and Kubernetes but was not responsible for full deployment or architecture.
- Beginner – I’ve built basic web apps or APIs but have limited or no experience with deployment or Kubernetes.
- No experience – I haven’t worked on web services or deployment infrastructure.
What is your experience level with building scalable infrastructure for model serving and working with large-scale models (e.g., LLMs or foundation models)?
- Advanced – I’ve built fault-tolerant infrastructure for serving large models, worked closely with research teams to optimize performance, and handled large-scale traffic or inference loads.
- Intermediate – I’ve served ML models in production environments and assisted in scaling or debugging performance issues.
- Beginner – I’ve experimented with model serving on local or cloud setups but not at scale or in collaboration with research teams.
- No experience – I haven’t worked on model serving infrastructure.