Customer-Facing Production Systems Engineer

Luma

Greater London

On-site

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Luma is seeking a Forward Deployed Engineer to work directly with customers, understand their workflows and constraints, and define the real problem to solve. You will build production systems on Luma's APIs, models, and internal tools, then ship and maintain them in real environments with real data.

You will own projects end to end—from first conversation to a deployed system—and you will contribute feedback to platform and R&D to productize recurring patterns.

Qualifications

  • 2+ years of professional software engineering experience with end-to-end shipping.
  • Proficiency in at least one general-purpose language (Python, TypeScript, Go) and rapid learning of new systems.
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Willingness to travel to client sites as needed.

Responsibilities

  • Work directly with customers to understand workflows, constraints, and goals, and define the problem yourself.
  • Build production systems on Luma's APIs, models, and internal tools.
  • Prototype, ship, iterate, and maintain systems customers depend on in real environments with real data.
  • Own projects end to end, from first conversation to deployed system.
  • Build around platform gaps when something's missing and feed recurring patterns back to platform and R&D to productize.
  • Use AI to accelerate implementation while maintaining engineering judgment on what to build and how to make it reliable.

Skills

Python
TypeScript
Go

Education

Bachelor's degree in Computer Science or equivalent

Job description

Luma is seeking a Forward Deployed Engineer to work directly with customers, understand their workflows and constraints, and define the real problem to solve. You will build production systems on Luma's APIs, models, and internal tools, then ship and maintain them in real environments with real data.

You will own projects end to end—from first conversation to a deployed system—and you will contribute feedback to platform and R&D to productize recurring patterns.

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