Job description

Full-Stack Engineer, Enterprise AI Platform Full-Time | On-Site | San Francisco, CA $200K–$290K Base Salary + 0.4%–0.7% Equity Higher compensation may be available for exceptional candidates. About This Role We are looking for a Full-Stack Engineer with 3+ years of experience to join a fast-growing, early-stage AI company as a core builder on the engineering team. The company is building an AI-native platform for forward deployed engineering (FDE) and professional services teams, helping organizations deliver complex implementations more efficiently and improve client outcomes. You'll be a high-ownership engineer who loves shipping product from the ground up at an early-stage startup. You'll report directly to the CTO and work alongside a small team of founding engineers in San Francisco. This is an opportunity to build greenfield products, including a brand-new client-facing dashboard, for a company addressing a $400B+ market. What Will You Be Doing? • Building a new client-facing dashboard from the ground up, owning system design choices, UI decisions, and full-stack implementation • Architecting and shipping full-stack features across the platform with high code quality and scalability in mind • Working on top of existing agent frameworks and data pipelines to deliver new product experiences • Collaborating closely with the CTO and founding engineers to make key engineering decisions on new product surfaces • Interacting directly with clients to understand how they want to engage with the product What We're Looking For • 3+ years of full-stack engineering experience • Strong experience with Python and TypeScript • Experience owning and shipping customer-facing product features end-to-end • Experience working in a startup environment with real customers • Strong system design and code architecture skills • Good UI/frontend judgment and the ability to build polished interfaces • CS or technical degree from a highly regarded university, or an exceptional technical project record demonstrating comparable ability • Evidence of high ownership and initiative, including meaningful independent projects, side projects, or other hands-on building experience • Comfortable working across the stack rather than specializing exclusively in frontend or backend development Experience building enterprise-facing dashboards or workflows is especially relevant. Tech Stack Python, TypeScript, AWS, LLMs, Agentic Workflows AWS experience is preferred, although experience with other cloud platforms may be transferable. Work Environment This is a highly collaborative, early-stage environment for engineers who are hungry, resourceful, and comfortable operating with significant ownership and ambiguity. The role is on-site 5 days per week in San Francisco's Financial District . Candidates outside the area must be willing to relocate. The team operates at an intense startup pace, with workdays typically around 12 hours and occasional weekend work expected. Compensation & Benefits • Base Salary: $200K–$290K • Equity: 0.4%–0.7% • Higher compensation may be available for exceptional candidates • Free meals • Unlimited PTO About the Company This early-stage enterprise AI company is building technology for forward deployed engineering and professional services teams. Its platform helps deployment teams shorten time-to-value, increase the number of projects each team member can support, improve visibility into project health and resource planning, and standardize delivery quality across projects and teams. The company has a small, talent-dense team, has raised approximately $11M in seed funding , and is backed by a leading venture capital firm. Work Authorization Visa sponsorship is generally not available for this role. Exceptional candidates with an otherwise outstanding match may be considered on a case-by-case basis.

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Must-haves

Full-Stack Engineer, Enterprise AI Platform
Full-Time | On-Site | San Francisco, CA
$200K–$290K Base Salary + 0.4%–0.7% Equity
Higher compensation may be available for exceptional candidates.
We are looking for a Full-Stack Engineer with 3+ years of experience to join a fast-growing, early-stage AI company as a core builder on the engineering team.
The company is building an AI-native platform for forward deployed engineering (FDE) and professional services teams, helping organizations deliver complex implementations more efficiently and improve client outcomes.
You'll be a high-ownership engineer who loves shipping product from the ground up at an early-stage startup. You'll report directly to the CTO and work alongside a small team of founding engineers in San Francisco.
This is an opportunity to build greenfield products, including a brand-new client-facing dashboard, for a company addressing a $400B+ market.
What Will You Be Doing?
Building a new client-facing dashboard from the ground up, owning system design choices, UI decisions, and full-stack implementation
Architecting and shipping full-stack features across the platform with high code quality and scalability in mind
Working on top of existing agent frameworks and data pipelines to deliver new product experiences
Collaborating closely with the CTO and founding engineers to make key engineering decisions on new product surfaces
Interacting directly with clients to understand how they want to engage with the product
3+ years of full-stack engineering experience
Strong experience with Python and TypeScript
Experience owning and shipping customer-facing product features end-to-end
Experience working in a startup environment with real customers
Strong system design and code architecture skills
Good UI/frontend judgment and the ability to build polished interfaces
CS or technical degree from a highly regarded university, or an exceptional technical project record demonstrating comparable ability
Evidence of high ownership and initiative, including meaningful independent projects, side projects, or other hands-on building experience
Comfortable working across the stack rather than specializing exclusively in frontend or backend development

Nice-to-haves

AWS experience is preferred, although experience with other cloud platforms may be transferable.

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aipythontypescriptaws

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Effort: medium

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