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About the Role
Be the backbone of Atlassian’s Agentic AI Integration Products. The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations, and leveraging cutting-edge AI capabilities like Claude Skills and ChatGPT/Claude Apps to enhance Atlassian's ecosystem. This role involves working on bleeding-edge AI technologies, exploring transformative AI technologies, and building highly-scalable enterprise-grade AI products.
Responsibilities
- Design, build, and evolve MCP servers, tools, and agent-facing APIs with concise schemas, predictable errors, safe mutations, and clear outcome-oriented contracts.
- Develop accessible, responsive, and performant React and TypeScript experiences for discovering, configuring, and using agent capabilities, MCP tools, and A2A interactions.
- Build reusable components, design-system patterns, and frontend architecture for consistent, scalable user experiences across AI-powered products.
- Integrate GraphQL and REST APIs, SDKs, streaming responses, and real-time data into reliable, user-friendly AI workflows.
- Optimize token and context efficiency through dynamic tool discovery, lazy loading, bounded responses, pagination, selective field retrieval, caching, and reduced tool-call loops.
- Improve end-to-end performance and reliability across front-end clients, gateways, MCP servers, search services, and downstream product systems through observability, tracing, SLOs, and production diagnostics.
- Build semantic retrieval capabilities using embeddings, chunking, vector indexes, hybrid search, metadata and permission filters, ranking, reranking, and freshness strategies.
- Define and operate AI/ML quality programs with JTBD-based evaluations, benchmark datasets, groundedness and relevance metrics, hallucination and bias detection, safety testing, and human feedback.
- Integrate automated evaluations into CI/CD and release gates to detect regressions across model, prompt, tool, and retrieval changes.
- Implement enterprise security and partner cross-functionally to deliver maintainable, well-tested AI integrations, including OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.
Requirements
- 7+ years of software engineering experience building and operating enterprise systems, APIs, or cloud-native products.
- Strong proficiency in TypeScript/JavaScript and modern front-end development with React; experience building accessible, responsive, and performant web applications.
- Hands-on experience designing or integrating MCP servers, tools, agent-facing APIs, or related context and agent frameworks.
- Demonstrated ability to apply distributed-systems principles, including concurrency, connection pooling, caching, retries, timeouts, backpressure, autoscaling, and load shedding.
- Experience measuring and improving latency, throughput, saturation, error rates, availability, token consumption, and end-to-end task cost.
- Practical experience with AI/ML evaluation and quality engineering, including benchmark design, groundedness, relevance, safety, hallucination detection, bias analysis, monitoring, and regression prevention.
- Knowledge of semantic search and retrieval systems, including embeddings, vector databases or indexes, hybrid retrieval, ranking, reranking, and permission-aware filtering.
- Experience integrating GraphQL, REST, JSON Schema, streaming APIs, SDKs, and event-driven systems into reliable product experiences.
- Proficiency in at least one additional systems or back-end language such as Python or Go, with strong testing and API design practices.
- Proven ability to lead cross-functional engineering initiatives, communicate clearly with technical and non-technical partners, and mentor other engineers.
Skills
- React
- TypeScript
- JavaScript
- GraphQL
- REST APIs
- SDKs
- Streaming responses
- Real-time data
- Embeddings
- Vector search
- Hybrid ranking
- Reranking
- Python
- Go
- OAuth 2.1
- MCP architecture
- A2A specification
- Agent collaboration frameworks
- Observability
- Vector databases
- Model-to-model communication
- Enterprise integration patterns
- API governance
- Developer experience platforms
- AI frameworks
- Standards development
Location
- Any country where Atlassian has a legal entity
Work Type
- Office
- Home
- Combination of office and home
- Distributed-first
- Virtual interviews and onboarding
Experience Level
- 7+ years of software engineering experience
Salary/Compensations
- Zone A: $180,000 - $235,000
- Zone B: $162,000 - $211,500
- Zone C: $149,400 - $195,050
Benefits
- Benefits
- Bonuses
- Commissions
- Equity
About the Company
- Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
- Atlassian can hire people in any country where they have a legal entity.
- Interviews and onboarding are conducted virtually, a part of being a distributed-first company.