Senior Software Engineer, Agents

Decagon
$200K - $400K/yr

AI Infrastructure

Tech Stack

About the Role

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 proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.

About the Team:

The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.

About the Role:

On the Agent Engineering team, you'll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare and hospitality, solving their users' needs with reliable and intuitive AI agents.

In this role, you will:

  • Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
  • Identify cross-customer trends that guide the evolution of Decagon's agent building platform and research efforts
  • Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers

Your background looks something like this:

  • Have 5+ years of industry experience in software engineering
  • Proficiency with Python, Typescript and asynchronous programming
  • A high degree of comfort digging into system failures within deep technology stacks using any tool necessary

Even better:

  • Prior experience working with multi-modal models
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