Join an agent deployment team as a customer-facing software engineer, building production AI systems for complex operational workflows. You will contribute to the core platform while working directly with customers and helping shape a new engineering function.
Architect and build production systems for customer deployments, translating complex requirements into scalable implementations.
Develop and maintain backend services, APIs, and integrations with external and enterprise systems.
Build secure, reliable integrations with strong observability and long-term maintainability.
Turn customer needs and edge cases into reusable platform capabilities.
Own deployments from initial architecture through launch, scaling, and ongoing optimization.
Partner with customers, sales, and engineering teams to move quickly from ideas to production.
At least 2 years of software engineering experience, ideally in product-focused or customer-facing roles.
Strong backend engineering and system design fundamentals, with experience shipping production systems and building APIs, integrations, or workflow automation.
Experience in a startup, small-company, or other fast-moving environment with high ownership and ambiguity.
Clear communication skills for working with technical and business stakeholders.
A degree in computer science, engineering, mathematics, or physics, or comparable evidence of strong technical fundamentals.
Exposure to AI or LLM systems, agent architectures, automation platforms, or enterprise customer deployments is valuable.
Base salary is $200,000 to $325,000 annually. Visa sponsorship is not available.
This is an on-site role in San Francisco, California.