About the Role

Join a customer-facing engineering team building production-grade AI systems for enterprise IT workflows. You will work directly with customers on complex deployments while contributing reusable capabilities to an AI automation platform.

What You'll Do

Architect and build scalable, durable systems for customer pilots, translating complex requirements into production implementations.

Develop and maintain backend services, APIs, and integrations that extend an AI agent platform.

Build secure, reliable integrations with external systems, emphasizing observability and maintainability.

Turn customer needs and edge cases into reusable product capabilities.

Own deployments from initial architecture through launch, scaling, and ongoing optimization.

Partner with customers and internal teams to solve high-impact problems and deliver solutions quickly.

Help establish the practices and direction of a growing deployment engineering function.

What We're Looking For

At least 2 years of software engineering experience, with strong backend engineering fundamentals and experience shipping production systems.

Experience building APIs and integrations with third-party or enterprise systems.

Customer-facing engineering experience in implementations, pilots, solutions engineering, or similar work, or a clear interest in moving into this kind of role.

Strong communication skills with both technical and business stakeholders.

Ability to work independently and adapt in fast-moving, ambiguous environments, ideally including startup or 0-to-1 settings.

Exposure to AI or LLM systems, agent-based architectures, or automation platforms is a plus.

A degree in computer science, engineering, mathematics, or physics, or equivalent technical experience.

Must be authorized to work in the United States without visa sponsorship.

Compensation & Benefits

Base salary range: $200,000 to $325,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California.