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Founding AI Engineer

Uplane - San Francisco | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Company stage
Early From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Founding AI Engineer San Francisco | OnSite About Uplane (YC F25) Companies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving AI system. It creates ads, builds matching landing pages, allocates budgets across different channels, and more. We are building the AI engine that will manage and spend the world's marketing budget. About The Role We're seeking a highly skilled and proactive AI Software Engineer to join our team full-time, on-site in San Francisco. This role offers an excellent chance to take full ownership of features from concept to deployment within an early-stage startup setting. Why Join - Be one of the first employees at a well-funded startup - Solve a massive problem in a massive market - Take ownership and grow quickly - Culture: fast-moving, ambitious, fun, humble Responsibilities - Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns. - Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time. - System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance. - Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance. - User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs. - Collaboration: Collaborate

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