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Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Business-to-Business (B2B)unmatched
Cloud Computingunmatched
Computer Systemsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
Database Extract Transform and Load (ETL)unmatched
GCP (Good Clinical Practices)unmatched
Google Chrome Browserunmatched
Machine Toolunmatched
Productivity Managementunmatched
Python Programming/Scripting Languageunmatched
Rapid Application Development (RAD)unmatched
Security Monitoringunmatched
Software as a Service (SaaS)unmatched
Startupunmatched
Testingunmatched
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