Full-Stack Engineer, Enterprise AI Platform (SF)

Job Description

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.

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.

• 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

Experience building enterprise-facing dashboards or workflows is especially relevant.

Python, TypeScript, AWS, LLMs, Agentic Workflows

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

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.

• Base Salary: $200K–$290K

• Equity: 0.4%–0.7%

• Higher compensation may be available for exceptional candidates

• Free meals

• Unlimited PTO

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.

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.