Level

Decagon

Software Engineer, Agents

Decagon is hiring a Software Engineer, Agents in London, United Kingdom. It pays £125k-£180k a year and Level rates it ; you can apply on Decagon.

Level's read on this job

  • On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Python, AI agents and llms.
  • Level classifies it as a mid-level role.
  • Level lists 133 other open roles at Decagon.

AI in this role

Design and build enterprise AI agents to manage complex customer interactions and drive engagement at Decagon.

python
ai-agentsllmscustomer-experiencesystem-design

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:

  • 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

  • Monthly stipend to support your wellness, lifestyle, and work-life balance

  • Daily lunches and snacks in the office to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

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.

How we rate this

Software Engineer, Agents at Decagon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsLLMsCustomer ExperienceSystem DesignPython

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

Use the typical software engineer figure as a reference when pay comes up. See software engineer jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where llms was part of your work. What did you do?
  3. Tell me about a project where customer experience was part of your work. What did you do?
  4. Tell me about a project where system design was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI agents, LLMs, Customer Experience, System Design, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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