AI Agent Engineer — Production-Grade, Enterprise

Sierra

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Flexible PTO
Medical, dental, and vision benefits
Life insurance and disability benefits
Parental leave
Equity plans

Job summary

Sierra is looking for an experienced engineer to design and deliver production-grade AI agents that are central, revenue-driving components of Sierra's platform. These systems must be reliable, scalable, and intuitive, deployed in production environments across finance, healthcare, and commerce.

You will own the Agent Development Life Cycle from pilot through deployment and iteration, collaborate with large enterprises and London startups, and help shape the future of the platform with

Qualifications

  • Experience building and scaling end-to-end production systems.
  • Strong technical problem-solving in fast-changing, ambiguous environments.
  • Builder mindset with high agency; ships features despite obstacles.
  • Comfort working directly with customers to understand needs.
  • Excellent communication across technical and non-technical audiences.

Responsibilities

  • Design and deliver production-grade AI agents that drive Sierra's growth.
  • Own the Agent Development Life Cycle from pilot to deployment and iteration.
  • Partner with enterprises and London startups to scale AI agents in production.
  • Shape the platform by surfacing unmet needs and prototyping tools with cross-functional teams.

Skills

Production systems
Problem solving
Builder mindset
Customer interaction
Communication skills
React
TypeScript
Go

Tools

React
TypeScript
Go

Job description

Sierra is looking for an experienced engineer to design and deliver production-grade AI agents that are central, revenue-driving components of Sierra's platform. These systems must be reliable, scalable, and intuitive, deployed in production environments across finance, healthcare, and commerce.

You will own the Agent Development Life Cycle from pilot through deployment and iteration, collaborate with large enterprises and London startups, and help shape the future of the platform with

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