Senior Software Engineer, Agent Building

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries in every language at any time. Since emerging from stealth, Decagon has experienced rapid growth, partnering with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara. We have raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We’re an in‑office company driven by excellence, velocity, and values—customers are everything, relentless momentum, winner’s mindset, and stronger together.

The Agent Building team creates the platform 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. Working closely with Agent Software Engineering and Agent PM teams, you’ll understand current workflows, then design elegant abstractions and interfaces that scale those capabilities across our customer base. You’ll join discovery, defining requirements, reviewing designs, and iterating through launch.

• 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

• 4+ years building full‑stack software products with strong product thinking
• Proficient in Type Script 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

• 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

• 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

$250K – $330K + Offers Equity