Join a forward-deployed AI engineering team building customer-ready automations for enterprise workflows.

Lead enterprise engagements end to end, from requirements gathering through deployed solution delivery
Design, build, and ship AI agents and automations on the platform to deepen adoption within major accounts
Engage with enterprise customers post-sales to scope business problems and drive solutions
Move quickly, with many solutions delivered in the same week as customer conversations
Incorporate successful customer-specific work back into the core platform
Partner with product and engineering to translate customer insights into scalable platform features
Role breakdown is approximately 70% coding and 30% scoping and post-sales engagement

3–6 years of software engineering experience in forward-deployed, solutions, implementation, or product engineering (no new grads)
Post-sales, customer-facing engineering background: scope a problem, build the solution, and ship with a tight turnaround
Background at a VC-backed startup that raised Series A or later from a top-tier investor
Proven experience scaling enterprise deployments, delivering multiple features or automations for large customers
Strong hands-on proficiency with Python and/or TypeScript
Degree from a strong university (e.g., Ivies, Stanford, MIT, Berkeley, Duke, Harvey Mudd, Claremont McKenna, UIUC, or equivalent) is strongly preferred
Comfort switching between customer discussions and focused coding
Ability to work on-site in San Francisco 5 days per week

Experience building or deploying AI/ML automations or agentic workflows in production
Experience building or integrating LLM/AI automation pipelines (e.g., OpenAI, LangChain, or similar)

Forward Deployed AI Engineer

Location: San Francisco, CA (on-site)
Work policy: On-site, 5 days/week (SoMa)
Employment type: Full-time
Visa sponsorship: Open to visa transfers (e.g., OPT, H-1B transfers)

Job Description