Senior Backend Engineer, AI Engineering: Chat at GitLab (United Kingdom)

GitLab

3 days ago

Senior Backend Engineer, AI Engineering: Chat

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build core AI capabilities behind an agentic chat experience, designing flow components and multi-agent flows in the Flow Registry. You’ll develop backend features across a Python Duo Workflow Service and the GitLab Rails monolith, integrate large language models and orchestration patterns, and implement GraphQL/REST APIs for chat entry points, permissions, and reliability. Improve debugging, observability, and test coverage, and support production via Tier 2 on-call.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build flow components and agentic flows in the Flow Registry using Python and LangGraph within the Duo Workflow Service.
•Develop, ship, and maintain backend features for Duo Chat across the Python workflow service and the GitLab Rails monolith with security, tests, and performance in mind.
•Integrate new generative AI models, providers, tools, and multi-agent orchestration patterns to improve answer quality.
•Design, implement, and review GraphQL and REST APIs plus related monolith logic for chat entry points, permissions, and flow registration.
•Improve debugging, observability, and test coverage (e.g., pytest, RSpec) and participate in Tier 2 on-call for production troubleshooting and resilience.

Pay and Benefits

Perks:Paid LeaveEquity CompensationParental Leave

Key Requirements

•Significant experience building and maintaining production Python backends, including APIs and asynchronous or long-running workloads.
•Practical experience shipping AI-powered agentic backend features, including large language model integration and multi-agent orchestration with safe production judgment.
•Working proficiency in Ruby on Rails or strong willingness to learn, given deep integration with GitLab’s monolith and Ruby codebase.
•Proficiency designing or extending REST or GraphQL APIs with scalability, maintainability, and backward compatibility in mind.
•Strong SQL skills and familiarity with relational databases such as PostgreSQL, including efficient queries and data modeling.

Experience:AIAgenticDevSecOps

Skills:ReliabilityPerformance focusDebuggingCollaborationEvidence-driven engineering

Languages:English

Tech Stack:PythonLangGraphLangChainRubyRuby on RailsGraphQLRESTSQLPostgreSQLPytestRSpecMulti-agent orchestrationFlow RegistryDuo Workflow Service

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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GitLab

3 days ago

Senior Backend Engineer, AI Engineering: Chat

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and build flow components and agentic flows in the Flow Registry using Python and LangGraph within the Duo Workflow Service.
•Develop, ship, and maintain backend features for Duo Chat across the Python workflow service and the GitLab Rails monolith with security, tests, and performance in mind.
•Integrate new generative AI models, providers, tools, and multi-agent orchestration patterns to improve answer quality.
•Design, implement, and review GraphQL and REST APIs plus related monolith logic for chat entry points, permissions, and flow registration.
•Improve debugging, observability, and test coverage (e.g., pytest, RSpec) and participate in Tier 2 on-call for production troubleshooting and resilience.

Pay and Benefits

Perks:Paid LeaveEquity CompensationParental Leave

Key Requirements

•Significant experience building and maintaining production Python backends, including APIs and asynchronous or long-running workloads.
•Practical experience shipping AI-powered agentic backend features, including large language model integration and multi-agent orchestration with safe production judgment.
•Working proficiency in Ruby on Rails or strong willingness to learn, given deep integration with GitLab’s monolith and Ruby codebase.
•Proficiency designing or extending REST or GraphQL APIs with scalability, maintainability, and backward compatibility in mind.
•Strong SQL skills and familiarity with relational databases such as PostgreSQL, including efficient queries and data modeling.

Experience:AIAgenticDevSecOps

Skills:ReliabilityPerformance focusDebuggingCollaborationEvidence-driven engineering

Languages:English

Tech Stack:PythonLangGraphLangChainRubyRuby on RailsGraphQLRESTSQLPostgreSQLPytestRSpecMulti-agent orchestrationFlow RegistryDuo Workflow Service

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn