AI Platform Engineer : Full-Time
Information Technology | San Francisco, CA | Full Time | From $180,000 to $200,000 per year
Job Description
We’re looking for AI Platform Engineers to build the foundations of our engineering stack - from AI productivity and deployment to monitoring, security, and cost optimization. This is one of the highest-impact and highest-responsibility roles in the company. Your work will increase the productivity of every team and shape how we build going forward.
Role: AI Platform Engineer
Location : Mission District-SF, CA
Full-Time Position
Technical Stack
- TypeScript and Python are primary languages; experience with web stack and Chrome extensions beneficial.
- Focus on enabling AI tools and infrastructure for rapid development.
Seniority
- 5+ years of experience in platform engineering.
Work experience
- Has shipped and maintained production platform infrastructure in a B2B SaaS environment -CI/CD, Kubernetes, containerization, cloud deployments, database migrations; has made painful mistakes and learned from them
- Startup experience post-Series A; ideally has seen a company grow from Series A-B
You’re a great fit if you have:
- Built and scaled complex infrastructure systems
- Worked with Kubernetes, ETL pipelines, AWS/GCP/Cloudflare, CI/CD, and SOC 2 environments
- Strong judgment across security, reliability, cost, and iteration-speed tradeoffs
- Been operating at the edge of AI-first development for some time
- Learned practical lessons from decades of enterprise-grade engineering patterns
- Strong opinions on how old systems should be improved or replaced
- High ownership and comfort working across many domains
What you'll do:
- Build internal platforms and AI loops that increase company iteration speed
- Strengthen security, compliance, and operational readiness
- Improve CI/CD, testing, deployments, and developer environments
- Evaluate and implement new tooling, storage, and compute systems
- Enable non-technical staff to build and ship improvements safely
- Enable technical teams to ship scalable, enterprise-ready systems faster
- Resolve incidents and production fires with both immediate fixes and long-term solutions
