What You Will Do
- Work as a software engineer maintaining and expanding a deep understanding of agentic coding.
- Design and build agentic coding systems that deliver high-quality outputs.
- Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures.
- Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
- Work with multiple programming languages: Python, TypeScript, Java, Go.
- 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 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 our teams’ 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).
What You’ll Bring
- 8+ years of professional work experience.
- Proven experience in optimizing AI systems using both machine learning and systems techniques.
- Experience and passion for harnessing generative AI, particularly for agents and coding.
- A deep appreciation for how to use AI to improve 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.
- 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).
- A track record of open source software contributions, including contributions to 3rd party libraries.
- Experience contributing to the architecture and design of large-scale distributed systems.
- Deep background in machine learning, model training, data science, or machine learning systems.
- Graduate degree in Computer Science.
Compensation
The estimated pay range for this role is $224,000 - $302,400. Additionally, this role is eligible to participate in Temporal's equity plan.
Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets.