Software Engineer, Agents

Decagon
London, GB
On-site

Who this role is best for

Best suited to mid-level software engineers proficient in Python and Typescript working on AI agent development in London.

Best fit for

  • Engineers who thrive in owning end-to-end projects with direct customer impact.
    — “Engineers here own their work end-to-end
  • Candidates comfortable debugging complex system failures in deep tech stacks.
    — “A high degree of comfort digging into system failures
  • Developers experienced with asynchronous programming and multi-modal models.
    — “Proficiency with Python, Typescript and asynchronous programming

Things to consider

  • In-office work arrangement is mandatory despite generous leave policies.
    — “We’re an in-office company
  • Role involves direct collaboration with enterprise customers across industries.
    — “You’ll work directly with leaders across industries

How to stand out

  • Showcase prior work integrating AI models at enterprise scale.
    — “then integrate them at scale with large enterprise-grade customers
  • Highlight evaluations or experiments with latest text/voice models.
    — “Experiment with and run evaluations on the latest text and voice models
  • Demonstrate problem-solving across finance, healthcare, or hospitality domains.
    — “solving their users’ needs with reliable and intuitive AI agents
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and build AI agents that outperform human agents
  • identify cross-customer trends
Typical background
3+ years of industry experience in software engineering

Skills & requirements

Required

PythonTypeScriptAsynchronous ProgrammingSystem Failures Analysis

Preferred

Multi-modal Models

Stack & domain

PythonTypeScriptAsynchronous ProgrammingConversational AiCustomer ExperiencesVoiceChatEmailSms

About the role

Original posting from Decagon via Ashby

About Decagon

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.

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.

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

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.

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.

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 3+ 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

Benefits

  • Medical, dental, and vision benefits
  • Generous time off, including 25 days annual leave, 8 UK public holidays, and a company-wide holiday break
  • Daily lunches, dinners and snacks in the office to keep you at your best

Compensation

£125,000 – £180,000 + Offers Equity

Benefits

We proudly offer the following benefits for our full-time employees:

  • 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.

Source: Decagon careers (Ashby)

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