The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.

As a Staff Software Engineer, you will:

• Work as a Software Engineer.
• Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.
• Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.
• Work with multiple programming languages, primarily Python and TypeScript.
• Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.
• Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
• Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.
• Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.
• Write public technical documentation describing Temporal concepts and APIs.
• Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.
• Travel to meet your coworkers for a week once or twice a year.
• Attend the occasional developer conference to talk about how great Temporal is (optional).

You won't:

• Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.
• Work in an office (unless you want to, but you'd be by yourself). Temporal is a fully-remote company.
• Commit code that's poorly-tested or works 'most of the time'. Temporal aspires to be 'Reliable as Gravity', and we expect our code to be the same.
• Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.
• Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.
• Wake up to pager alerts. We're extremely active in supporting our customers and the community, but we don't do 24/7 on-call.

You'll bring:

• Experience and passion for harnessing generative AI, particularly for agents and coding.
• A deep understanding of how to use AI to increase quality, not only to increase quantity.
• A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.
• A track record of open source software contributions, including contributions to 3rd party libraries.
• Fluency in multiple programming languages, and an affinity for learning new ones.
• Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.
• Experience designing APIs and writing documentation for publicly-available libraries or modules.
• Strong technical communication skills,written and verbal,in English.
• BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.

Nice to have:

• Familiarity with Temporal's programming model (e.g. you've written an app on Temporal).
• Expedite building agents or other AI applications
• Background in machine learning, model training, data science, or machine learning systems.
• Experience contributing to the architecture and design of large-scale distributed systems.
• Graduate degree in Computer Science.

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Your responsibilities will include contributing to the roadmap for Applied Training, designing and building a complete research cluster experience, owning the Python SDK, and writing documentation for running popular OSS training frameworks on CoreWeave.

You'll work with infrastructure teams and customers directly, understanding how they structure their internal supercomputing stacks and bringing that knowledge back to what we build.

As a staff software engineer, you'll have 8-12+ years of experience building distributed systems, ML infrastructure, or developer platforms, with real Kubernetes experience and a passion for rigorous engineering enabled by AI-based workflows.

You'll be a good communicator, able to work with customers, translate researcher complaints into system designs, and contribute to the growth and success of our team.

If you're excited about this opportunity, please apply!

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As a Developer Experience Engineer, you will act as a bridge between our core engineering efforts and the broader developer ecosystem, contributing code, documentation, and examples that accelerate adoption of Grok and xAI's models.

At xAI, we build AI to accelerate human scientific discovery and advance our collective understanding of the universe. Developer Experience here is hands-on and outcome-driven: you ship real code to open source repos, solve actual developer pain points, and influence product direction through community insights and your own prototypes.

Responsibilities:

• Contribute to and maintain popular open source SDKs and repositories for xAI, including pushing high-quality code, reviewing PRs, and evolving libraries that power developer integrations with our models.

• Write clear, comprehensive documentation that empowers developers to build with Grok quickly and effectively.

• Engage directly with the community , on X, Discord, GitHub, forums, and beyond , answering questions, gathering feedback, and turning insights into actionable improvements.

• Create and ship practical examples, tutorials, reference apps, and demos that showcase best practices for using xAI APIs in real-world scenarios.

• Collaborate closely with engineering, product, and research teams to identify friction in developer workflows and drive fixes or new features.

• Help shape how developers experience xAI in an era of rapid AI advancement, focusing on speed, reliability, and innovation.

Basic Qualifications:

• Open source maintainer or core contributor with a track record of shipping meaningful code to public repositories that others rely on.

• Strong Typescript fullstack expertise and can build end-to-end solutions confidently.

• Previous experience in DevRel, Developer Advocacy, Developer Experience, or a closely related role where you owned community-facing technical work.

Preferred Skills and Experience:

• Hands-on experience with Next.js / React for building modern web interfaces and apps.

• Experience building agents in Python

• Background as an indie hacker, ex-founder, or solo builder who has shipped products independently and understands developer needs from personal experience.

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