Remote Staff Backend Engineer, AI Code Creation

Ruby Developer

Netherlands

Remote

EUR 120,000 - 180,000

Full time

44 hours ago
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Benefits offered by this job

Flexible PTO
Equity Compensation & ESPP
Parental leave
Home office support
Growth & Development Fund

Job summary

GitLab is seeking a Staff Backend Engineer for AI Engineering: Code Creation, focusing on Ruby and Python. You will architect and lead AI-powered coding assistance across services, develop scalable APIs, and mentor engineers in a distributed environment.

You will drive strategy for code suggestions, reviews, and generation, while evaluating new AI/ML models to boost tooling performance for developers worldwide.

Qualifications

  • Significant experience in Ruby on Rails and Python in production systems.
  • Experience leading complex AI-powered coding tools projects.

Responsibilities

  • Architect and lead AI-powered coding tool implementations across services (Ruby/Rails, Python, Rust, TS).
  • Drive technical strategy for AI coding tools incl. code suggestions, reviews, and generation.
  • Design scalable APIs/services powering IDE extensions and workflows.
  • Mentor engineers and collaborate across teams to improve quality and delivery.
  • Evaluate new AI/ML models to enhance coding capabilities.
  • Influence product and engineering decisions with iterative solutions.
  • Collaborate with product, engineering, marketing, and customers.

Skills

AI/ML concepts
Code architecture
Leadership
Mentorship
Distributed systems
Performance optimization
Cross-functional collaboration
Prompt engineering

Education

Bachelor's degree in CS or related field

Tools

Ruby on Rails
Python
Rust
TypeScript

Job description

GitLab is seeking a Staff Backend Engineer for AI Engineering: Code Creation, focusing on Ruby and Python. You will architect and lead AI-powered coding assistance across services, develop scalable APIs, and mentor engineers in a distributed environment.

You will drive strategy for code suggestions, reviews, and generation, while evaluating new AI/ML models to boost tooling performance for developers worldwide.

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