Senior Software Engineer, Agent Development
Builds scalable, self-serve enterprise product systems that help technical and non-technical teams configure, deploy, and improve AI agents. Requires 4+ years of full-stack experience, strong Python and/or TypeScript skills, product thinking, and the ability to simplify complex capabilities.
About the job
Responsibilities
- Build self-serve functionality for agent configuration, training, and deployment to eliminate manual engineering work.
- Create AI-powered tools that enable non-technical teams to build and manage sophisticated workflows without writing code.
- Design configuration abstractions that balance power and simplicity across diverse use cases.
- Build monitoring and analytics that surface actionable insights for improving AI agents.
- Own features end-to-end, from technical architecture through deployment and iteration.
- Work closely with customer-facing, product, and design teams to understand workflows, define requirements, review designs, and iterate through launch.
Requirements
- 4+ years building full-stack software products with strong product thinking.
- Proficiency in Python and/or TypeScript, with the ability to work across the entire stack.
- Experience translating complex technical capabilities into simple, usable interfaces.
- Track record of balancing technical excellence with pragmatic shipping.
Nice-to-haves
- Experience building security-sensitive product systems, including authentication and data access controls.
- Experience building developer tools, APIs, platforms, or internal tools that became customer-facing.
- Background with LLMs, prompt engineering, or AI agent systems.
- Familiarity with asynchronous programming and scalable systems.
- Experience with observability, data visualization, or analytics products.
Compensation
- $200,000–$400,000 plus equity.
- Compensation varies based on experience, skills, scope of responsibilities, and location within the United States.
Benefits
- Medical, dental, and vision benefits for employees and families.
- Life insurance and disability benefits.
- Retirement plan.
- Parental leave.
- Fertility and family-building benefits.
- Monthly wellness and lifestyle stipend.
- Daily office lunches and snacks.
- Take-what-you-need vacation policy.
Skills
Python, TypeScript, LLMs, Prompt Engineering, AI Agents, Asynchronous Programming, Authentication, Data Access Controls, APIs, Observability, Data Visualization, Analytics
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