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risk, and accelerate digital transformation. More than 50 million registered users and more
than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI
as a core productivity multiplier, with all team members expected to incorporate AI into their
daily workflows to drive efficiency, innovation, and impact. GitLab is where careers
accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is
driven by our values and continuous knowledge exchange, enabling our team members to reach
their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us as we build technology that transforms how the world develops
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*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim
based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune
500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with,
and do not endorse products or services of GitLab.An overview of this role
As a Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo
Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build
and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow
Service. You'll also work in the GitLab Rails monolith, where Chat connects with the
product.
You'll own scoped parts of the system, ship small features and improvements with minimal
guidance, and collaborate with the team on larger projects. You'll work alongside senior
and staff engineers who will partner with you on design and support your growth.
What you’ll do

Develop secure, well-tested, and performant features and improvements for GitLab Duo Chat.
Implement and extend agentic flows in Python using LangGraph, registered through the Flow
Registry and served by the Duo Workflow Service.
Integrate Chat capabilities with the GitLab Rails monolith, including its GraphQL application
programming interface (API).
Write maintainable code that meets our internal standards for a high-scale environment,
including tests with every merge request.
Review code within our Code Review Guidelines and respond promptly to contributions from people
who don't work for GitLab.
Identify technical debt and propose and implement solutions that improve the team's
efficiency.
Collaborate with Product Management, User Experience, and Frontend team members to improve
product quality, security, and performance.
Participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to
help troubleshoot product operations, security operations, and urgent engineering issues.

What you’ll bring

Professional experience with Python, including building and testing production services.
Working proficiency with Ruby on Rails, or a willingness to learn it, since a meaningful part
of Chat lives in the GitLab monolith.
Exposure to, or strong interest in, building on top of large language models, including
prompting, tool or function calling, evaluation, and the failure modes of non-deterministic
systems.
Experience designing and building APIs, including diagnosing and optimizing performance issues,
and comfort working with well-documented third-party services.
A security-minded development approach that applies secure coding guidelines early in the
development process.
Clear and concise written communication about technical problems and iterative solutions, which
is essential in a remote, largely asynchronous environment.
Manage work independently, organize priorities, and ask for help when an issue is taking longer
than expected.
Demonstrate GitLab's values by collaborating effectively in a fully remote, intensely
iterative environment.
Experience with LangGraph, LangChain, or a comparable agent orchestration framework.
Experience with GraphQL and RSpec.
Experience with the GitLab product as a user or contributor.
Experience working on a remote, globally distributed team.

About the team
We're part of GitLab's AI Engineering organization and own the AI-powered chat
experience embedded across the GitLab platform. Chat Engine is the backend-focused team within
the Duo Chat group. We're backend, frontend, and AI specialists working asynchronously
across time zones, using issues, merge requests, and documentation as our main collaboration
tools. We focus on expanding generative and agentic AI capabilities, improving the performance
and reliability of chat workflows, and strengthening the debugging and testing foundations that
help us run AI features safely at scale.
 The base salary range for this role’s listed level is currently for residents of
the United States only. This range is intended to reflect the role's base salary rate
in locations throughout the US. Grade level and salary ranges are determined through
interviews and a review of education, experience, knowledge, skills, abilities of the
applicant, equity with other team members, alignment with market data, and geographic
location. The base salary range does not include any bonuses, equity, or benefits. See
more information on our benefits and equity. Sales roles are also eligible for incentive pay
targeted at up to 100% of the offered base salary.United States Salary
Range$115,200—$194,400 USDHow GitLab Supports Full-Time Employees

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 

Please note that we welcome interest from candidates with varying levels of experience; many
successful candidates do not meet every single requirement. Additionally, studies have shown
that people from underrepresented groups are less likely to apply to a job unless they meet
every single qualification. If you're excited about this role, please apply and allow our
recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of
our roles are remote, however some roles may carry specific location-based eligibility
requirements. Our Talent Acquisition team can help answer any questions about location after
starting the recruiting process.  
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer.
GitLab’s policies and practices relating to recruitment, employment, career development and
advancement, promotion, and retirement are based solely on merit, regardless of race, color,
religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity,
or gender expression), national origin, age, citizenship, marital status, mental or physical
disability, genetic information (including family medical history), discharge status from the
military, protected veteran status (which includes disabled veterans, recently separated
veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal
veterans), or any other basis protected by law. GitLab will not tolerate discrimination or
harassment based on any of these characteristics. See also GitLab’s EEO
Policy and EEO is the Law. If you have a disability or special need that
requires accommodation, please let us know during the recruiting process.