Senior ML Performance Engineer for Enterprise AI Systems
atlassianMillbrae (CA)
Senior ML Performance Engineer for Enterprise AI Systems
Posted today
atlassianMillbrae (CA)
SENIORITY
Lead
About the role
Atlassian in the United States (San Francisco area) seeks an AI Integration Engineer to design and scale MCP servers, agent-facing tools, and APIs. You will build React/TypeScript front-ends and integrate GraphQL/REST flows, focusing on latency and secure tool discovery. You will collaborate across teams to define contracts, improve AI workflows, and measure quality with rigorous evaluation and observability. This distributed-first role supports flexible work locations including SF.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.