Senior Software Engineer, Agent Building

About the Team The Enterprise Product team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self-serve products, making sophisticated AI capabilities accessible to both technical and non-technical Customer Experience teams. This team is core to Decagon’s ability to scale: the tools you build directly support agents for all our customers, each with unique workflows, data, and requirements. About the Role As a Senior Software Engineer on the Enterprise Product team, you will take ownership of designing and building robust, scalable systems that allow customers to create and optimize their AI agents with confidence. This means working closely with customer facing teams to understand current workflows, then designing elegant abstractions and interfaces that scale those capabilities across our customer base. You’ll work day-to-day with the core product and design teams, joining discovery, defining requirements, reviewing designs, and iterating through launch. In this role, you will Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve Own features end-to-end, from technical architecture through deployment and iteration Your background looks something like this 4+ years building full-stack software products with strong product thinking Proficient in Python and/or TypeScript, comfortable working across the entire stack Experience translating complex technical capabilities into simple, usable interfaces Track record of balancing technical excellence with pragmatic shipping Even better Experience building security-sensitive product systems, such as 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 building scalable systems Experience with observability, data visualization, or analytics products Compensation $200K – $400K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) Parental Leave Fertility and family building benefits through Carrot Daily lunches and snacks in the office to keep you at your best These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans. #J-18808-Ljbffr Decagon AI, Inc.