Staff Backend Engineer, Python – AI Engineer: Agent Foundations

October 29

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Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

📋 Description

• Write high-quality, efficient, and maintainable code while adhering to best practices and contributing to code reviews • Build a highly scalable web platform based on Python and gRPC that can be deployed in different environments. • Design and develop interactions with the latest LLMs. • Contribute to a testing infrastructure that allows us to verify agentic AI behaviours. • Embrace continuous learning and stay connected with industry best practices, tools, and technologies around AI to drive improvements in our software. • Provide technical mentorship and guidance to engineers across the Code Creation team and collaborate with other teams • Influence product and engineering decisions by proposing thorough, iterative solutions to complex technical and architectural challenges • Collaborate with cross-functional teams across product, engineering, marketing, and more • Represent the team in technical discussions with customers and stakeholders about AI-powered development capabilities • Participate in Tier 2 or Tier 3 weekday, weekend, and/or occasional night on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues.

🎯 Requirements

• A deep interest in the way AI will change the process of software development • Multiple years of experience building Python Web Services in a multi-service environment ( e.g. FastAPI, Starlette) • Proven ability to architect and lead complex technical projects from concept to production across distributed systems • Strong experience with AI/ML technologies, including integration with large language models and understanding of prompt engineering • Deep expertise in performance optimization, particularly for systems handling high-volume API requests • Experience designing and building distributed systems with a focus on reliability, observability, and scalability • Demonstrated ability to drive technical decisions and influence engineering strategy across multiple teams • Experience mentoring engineers and raising the technical capabilities of a team • Excellent written and verbal communication skills for collaborating in a remote, globally distributed environment • Ability to work effectively across different technology stacks and quickly learn new languages and frameworks as needed • Experience with the gRPC framework is a plus. • Experience with languages that our other services use such as Go, Typescript, Ruby or IDE Extension development is a plus.

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental leave • Home office support