Proven experience in shipping and maintaining production platform infrastructure
Experience in a B2B SaaS environment
Familiar with Kubernetes, ETL pipelines, and CI/CD processes
Desirable startup experience particularly in transitioning from Series A to B
Strong opinions and extensive knowledge on improving legacy systems
Responsibilities
Build internal platforms and AI systems to accelerate development
Enhance security and compliance measures
Optimize CI/CD processes and developer environments
Assess and implement new tools and infrastructure
Empower non-technical staff to make safe system improvements
Facilitate faster deployment of scalable systems for technical teams
Handle production incidents with immediate and long-term solutions
Benefits
Onsite work environment in San Francisco, CA
Opportunity to work in a dynamic startup atmosphere
Engagement with cutting-edge AI and cloud technologies
Influence the development of internal platforms and systems for improved processes
Collaboration with technical and non-technical teams to drive efficiency
Full Job Description
Job Description
Preference for candidates in/near San Francisco, CA.
Visa Sponsorship not available
Role: Sr Python AI Engineer/Architect
Location: Mission District-SF, CA Onsite role
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
