Software Engineer | AI Agent Platform
- Salary
- $200K–$280K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
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Software Engineer | AI Agent Platform
Location: San Francisco, CA
Employment Type: Full-Time
Work Arrangement: In-Person / On-Site
Base Salary: 200K-280K + Competitive Equity
Visa: Sponsorship and transfers available
About the Opportunity
We are partnering with a fast-growing, early-stage AI company building a next-generation workspace centered around large-scale AI agent orchestration.
The platform enables users to run sophisticated AI workflows at significant scale, including thousands of concurrent agents and millions of tokens per minute, while making the experience accessible through an intuitive, customer-facing product.
The engineering team is small, highly technical, and hands-on. Engineers have significant individual ownership and the opportunity to influence both the product and the underlying systems as the company scales.
What You'll Do
As a Software Engineer, you'll work across the full stack to design, build, and ship polished customer-facing products and the systems behind them.
Your work may include:
Building customer-facing product experiences using React and TypeScript
Developing APIs and backend services supporting those experiences
Building UI experiences for AI agent research traces
Debugging connectivity between client and server states to improve consistency
Defining models and standards for API contracts
Helping codify team-wide engineering processes and reusable tooling
Triaging production issues and performing root-cause analysis
Designing, deploying, and maintaining high-traffic production systems
The team values engineers who remain deeply hands-on and want to build, rather than move toward a traditional management path.
What They're Looking For
Approximately 2–5 years of software engineering experience
Strong full-stack product engineering experience
React/frontend experience is required
Experience building and shipping polished, customer-facing web products in production
Strong React and TypeScript experience, along with experience building the APIs and services behind the product
Experience as a primary individual contributor on meaningful projects
Experience designing and deploying high-traffic products
Ability to communicate complex technical concepts clearly
Strong problem-solving skills and the ability to operate with significant ownership
A track record demonstrating ambition, adaptability, and continued growth
The team cares more about demonstrated engineering ability and what you've shipped than titles or traditional career progression.
Tech Stack
Core Technologies:
React, TypeScript, Go, Postgres, Redis, PubSub, RPC, S3, Temporal
Experience with Go in production is a plus, but not required.
Additional experience with TanStack (Query/Router), WebSockets, or Zustand is also helpful.
What Can Set You Apart
The team is particularly interested in engineers who have:
Shipped high-traffic customer-facing products at strong technology companies
Worked across both frontend product surfaces and the backend systems supporting them
Experience in both larger-scale engineering environments and fast-growing startup environments
Production experience with Go
Distributed systems experience
Competitive programming or ICPC experience
A career trajectory demonstrating a willingness to pursue challenging opportunities and continued growth
Trajectory and shipped work matter more than school pedigree.
Work Environment
The company is based in San Francisco and places a high value on synchronous, in-person collaboration. Candidates should be able to work with the team in person as needed without their absence becoming a blocker.
The environment is fast-moving and high-ownership, with engineers expected to contribute directly rather than operate through layers of management.
Compensation & Benefits
Base Salary: $200,000-280,000
Equity: Competitive equity
Visa Sponsorship: Available, including visa transfers and O-1 sponsorship for qualified candidates
Client Interview Process
After candidates are submitted to the client:
Initial Screen
Algorithm Interview
System Design | 60 minutes
Focused on how you would approach and continue building a project, including designing and deploying distributed services and practical problem-solving.
On-Site Interview | San Francisco
In-person conversation focused on how you would continue contributing to projects as a hands-on individual contributor.