Senior Software Engineer, Agent Development
About The Position
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. The Agent Building 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. You'll be a full-stack product engineer building the tools that empower customers to create and optimize their AI agents. This means working closely with the Agent Software Engineering and Agent PM 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.
Requirements
- 4+ years building full-stack software products with strong product thinking
- Proficient in TypeScript and/or Python, comfortable working 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 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
Responsibilities
- 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
Benefits
- Medical, dental, and vision benefits
- Take what you need vacation policy
- Daily lunches, dinners, and snacks in the office to keep you at your best
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
