AI Agent Engineer - Scale Conversational Agents

Decagon

Greater London

On-site

GBP 125,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental, and Vision benefits
Life Insurance and Disability Benefits
Retirement Plan
Parental Leave
Fertility and family building benefits
Monthly wellness stipend
Daily lunches and snacks in the office
25 days statutory leave

Job summary

Decagon is the leading conversational AI platform powering concierge customer experiences for brands worldwide. The Agent Engineering team owns end-to-end AI agents that operate across voice, chat, email and SMS, solving complex customer interactions at scale.

As a software engineer on this team, you will design and ship best-in-class AI agents, collaborate with customers, and push the boundaries of multimodal models to deliver reliable, enterprise-grade solutions for industries like finance,

Qualifications

  • 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.

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 run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers

Skills

Python
TypeScript
Asynchronous programming
3+ years software engineering

Job description

Decagon is the leading conversational AI platform powering concierge customer experiences for brands worldwide. The Agent Engineering team owns end-to-end AI agents that operate across voice, chat, email and SMS, solving complex customer interactions at scale.

As a software engineer on this team, you will design and ship best-in-class AI agents, collaborate with customers, and push the boundaries of multimodal models to deliver reliable, enterprise-grade solutions for industries like finance,

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