Senior AI Performance Engineer for Enterprise ML Systems

Work180; San Francisco (CA); Remote; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

Atlassian is embracing distributed-first work and empowers engineers to build scalable AI integrations for the Atlassian ecosystem. You will design and evolve MCP servers, tools, and agent-facing APIs, while delivering concise schemas and reliable error handling.

You will craft responsive React/TypeScript experiences, implement semantic retrieval with embeddings, and optimize performance across front-end and back-end services, collaborating with teams to ship enterprise-grade AI products used by

Qualifikationen

• 7+ years of software engineering experience building enterprise systems.
• Strong proficiency in TypeScript/JavaScript and React.
• Experience designing MCP servers, tools, and agent APIs.
• Knowledge of distributed-systems concepts like caching, autoscaling, and retries.
• Experience with GraphQL, REST, and streaming APIs.
• Ability to lead cross-functional initiatives and mentor others.

Aufgaben

• Design, build, and evolve MCP servers, tools, and agent-facing APIs.
• Develop React and TypeScript experiences for AI-powered products.
• Improve performance and reliability across front-end and back-end systems.
• Integrate GraphQL, REST, and streaming APIs.
• Define AI/ML quality programs and CI/CD integrations.

Kenntnisse

TypeScript/JavaScript

React

MCP servers

Agent APIs

Distributed Systems

Latency optimization

Semantic retrieval

Tool discovery

CI/CD

Mentoring

Tools

GraphQL

REST

SDKs

Embeddings

Vector databases

Indexing

Jobbeschreibung

Atlassian is embracing distributed-first work and empowers engineers to build scalable AI integrations for the Atlassian ecosystem. You will design and evolve MCP servers, tools, and agent-facing APIs, while delivering concise schemas and reliable error handling.

You will craft responsive React/TypeScript experiences, implement semantic retrieval with embeddings, and optimize performance across front-end and back-end services, collaborating with teams to ship enterprise-grade AI products used by