GitLab
About this role
GitLab is turning itself into an AI first company, and this Senior AI Engineer seat is on the Enterprise AI team that builds the internal AI tooling to do it. It is applied AI rather than research: you map how work actually moves across Sales, Marketing and Customer Support, find the real constraint, and decide honestly whether AI is even the right fix before you build. Then you own the solution from discovery through deployment, shipping working prototypes in days rather than months. It reports to the Director of Enterprise AI and runs in GitLab's remote, asynchronous environment, so it is remote within India. GitLab states no years requirement here. This suits a pragmatic engineer who is fluent with LLMs and agentic systems but leads with the business problem, and who is comfortable saying that a given workflow does not need AI at all.
Who this is for
GitLab does not publish a years figure for this role, so we have left it blank. It is pitched at Senior level, hands on.
What the posting asks for:
- Strong engineering skills combined with systems thinking and genuine business understanding.
- Practical fluency with LLM and agent based systems, and the judgement to know when AI is not the right tool.
- The ability to own initiatives end to end, from stakeholder discovery and design through deployment and iteration.
- Comfort delivering working prototypes fast and measuring real outcomes.
The day to day: you diagnose business problems before building, map workflows and constraints, and ship AI powered solutions into Sales, Marketing and Customer Support systems. You take ownership from discovery to production and iterate on what the data shows.
Location and ways of working: remote within India, asynchronous, reporting to the Director, Enterprise AI. Some GitLab roles carry location based eligibility, so confirm yours.
Honest read: an applied, internal facing AI engineering role for someone who leads with the problem, not the model. If you want frontier model research this is not it. If you want to ship AI that changes how a company works, it is a strong remote option.
What the posting asks for:
- Strong engineering skills combined with systems thinking and genuine business understanding.
- Practical fluency with LLM and agent based systems, and the judgement to know when AI is not the right tool.
- The ability to own initiatives end to end, from stakeholder discovery and design through deployment and iteration.
- Comfort delivering working prototypes fast and measuring real outcomes.
The day to day: you diagnose business problems before building, map workflows and constraints, and ship AI powered solutions into Sales, Marketing and Customer Support systems. You take ownership from discovery to production and iterate on what the data shows.
Location and ways of working: remote within India, asynchronous, reporting to the Director, Enterprise AI. Some GitLab roles carry location based eligibility, so confirm yours.
Honest read: an applied, internal facing AI engineering role for someone who leads with the problem, not the model. If you want frontier model research this is not it. If you want to ship AI that changes how a company works, it is a strong remote option.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.