Staff Software Engineer, Agent Product

Decagon

United States

Remote

USD 200,000 - 400,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental & Vision
Life Insurance
Retirement Plan

Job summary

Decagon is seeking an experienced Engineer on the Agent Product Engineering team to own the end‑to‑end development of next‑gen AI agents. You will design, implement, and ship scalable agents that assist millions of users, working directly with leaders across finance, healthcare, and hospitality to solve real customer needs.

You will work on challenging system problems, leveraging multi‑modal models and the latest AI tech to deliver reliable, scalable, and delightful customer experiences at scale.

Qualifications

  • 8+ years of industry experience in software engineering.
  • Proficiency with Python and Typescript.
  • Strong experience with asynchronous programming.
  • Experience with multi-modal models is a plus.

Responsibilities

  • 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 evaluate the latest text and voice models, then integrate them at scale with large enterprise‑grade customers.

Skills

Python
Typescript
Asynchronous programming
Multi-modal models

Job description

About Decagon

About DecagonDecagon 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.

About the Team

About the TeamThe Agent Product 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.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.

About the Role

About the RoleOn the Agent Product 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.Engineers here own their work end‑to‑end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.

Responsibilities
  • In this role, you willDesign 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
Requirements

Your background looks something like this

  • Have 8+ 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
Compensation

Compensation$200K – $400K + Offers Equity

Benefits
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Retirement Plan (e.g
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