[Hiring] Forward Deployed Engineer @GitLab

Role Description

GitLab’s Forward Deployed Engineering team closes the gap between what strategic customers need and what GitLab can currently deliver. We work alongside customers, Product, Engineering, and existing field teams, using hands-on engineering to resolve product friction, accelerate customer outcomes, and contribute reusable improvements back to GitLab.

As a Staff Forward Deployed Engineer focused on AI and Agentic SDLC, you will help define and build GitLab Duo Agent Platform at the frontier of agentic software development. You will:

• Design agent workflows and context systems
• Build integrations and product changes
• Evaluate and optimize system behavior
• Work directly with customers to understand where AI systems succeed, fail, or create friction

Engagements may range from a focused technical consultation to a long-running design partnership. The technical work may span:

• GitLab’s CLI
• IDE integrations
• AI Gateway
• Web experiences
• Agent orchestration
• Evaluation systems
• Authorization controls
• Other evolving parts of the platform

Qualifications

• Staff-level software-engineering experience building, shipping, and improving complex production systems
• Hands-on experience designing and building substantive AI systems
• Strong understanding of how agentic systems use models, context, retrieval, tools, state, control flow, evaluation, and human oversight
• Understanding of why AI systems become unreliable or fail to achieve adoption
• Depth in one or more areas of AI engineering
• Strong programming skills in Python, TypeScript, Go, Rust, Java, Kotlin, Ruby, C#, or another relevant language
• Ability to learn and contribute across large, mature, polyglot codebases
• Practical understanding of AI safety, authorization, governance, observability, and cost management
• Ability to communicate clearly with customers and senior stakeholders
• A record of Staff-level impact through technical direction, reusable systems, mentorship, or product architecture

Requirements

• Experience working directly with customers, design partners, or external engineering teams
• Experience building AI systems for software development, coding agents, IDEs, code understanding, code review, testing, CI/CD, security, or incident response
• Experience with LangChain, LangGraph, RAG, cache-augmented generation, knowledge graphs, agent evaluation, tracing, or related systems
• Experience evaluating how model and inference behavior affects application or agent performance
• Experience with self-hosted models, restricted environments, enterprise governance, or customer-controlled inference
• Familiarity with Git, GitLab, CI/CD, developer platforms, or large open-source products
• Experience with Ruby on Rails or other parts of GitLab’s existing product stack
• Experience with AWS, GCP, Azure or Kubernetes
• Experience with Infrastructure as Code tooling, such as Terraform, Ansible, etc.
• Public technical writing, architecture guidance, open-source contributions, talks, or other evidence of technical leadership

Benefits

• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental Leave