Own infrastructure that enables agents and ML workflows, with a focus on developer experience and operations.

Work across agent infrastructure and orchestration, ML infrastructure, and model benchmarking at scale
Build and improve full stack web experiences tied to agent and ML workflows
Drive process optimization to increase productivity through tools and systems
Address infrastructure needs across container orchestration, sandboxing, distributed filesystems, cloud architecture, and database systems
Take ownership of developer experience and ops as a primary area
Expect initial ownership to take less than 50% of engineering time, with ongoing focus driven by personal interest
Improve productivity for others by shipping developer tooling that supports token-to-human-time tradeoffs
Support teams with practical integrations and operational improvements, emphasizing throughput and delivery

AI-native engineer: uses AI coding agents daily and has built tooling, workflows, or integrations that improve effectiveness for a whole team
Strong software engineering: 3+ years writing production code in Python, Go, or TypeScript
Ability to get productive quickly in an unfamiliar codebase
Developer tools builder: built internal tools or developer-experience improvements adopted by other engineers
DevOps fluency: hands-on experience with CI/CD, AWS or GCP, Docker, and infrastructure-as-code
Not required to be a career SRE, but able to own parts of the pipeline end-to-end
Teacher and evangelist: encourage adoption through demos, docs, and pairing rather than mandates

Unlimited PTO
401(k) Plan
Every lunch and dinner is paid for
Health: 100% premium covered on Cigna’s platinum health plan ($0 premium, $0 deductible); 50% premium coverage for dependents
Dental and vision: 100% coverage for top-tier Guardian plans
Company-sponsored professional development
Relocation Assistance
Visa support: sponsor most work visas

Based in the San Francisco office; collaborate closely with science, partnerships, ops, and engineering
Two key meetings each week, plus ad hoc meetings as needed
Busy work with a flexible schedule
No tracking of online time; unlimited PTO
Focus on shipping high-quality projects well and on time (or early)

Radical transparency: you’ll know how the company is doing, what’s working, and what isn’t
Team mindset: “us against the problem, never each other”
Opinionated but respectful; bring solutions with problems
Arrive at a time that works for you; notify the team via Slack if running later
Meetings kept to a minimum; evaluated on innovation and output rather than hours
Outside work: company outings most months, team off-sites, latch run club, cycling, boxing, ice skating, and playing soccer together

Infrastructure Software Engineer (AI Enablement)

Job Description