Staff Software Engineer, AI Foundations (Agent Optimization)

Stack

Responsibilities

• ▹Work as a software engineer, maintaining and expanding a deep understanding of agentic coding
• ▹Design and build agentic coding systems that can be trusted to 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 developer experience
• ▹Work with multiple programming languages: Python, TypeScript, Java, Go
• ▹Serve as a domain expert on AI design patterns, collaborating with field staff on best practices and canonical examples
• ▹Work directly with the developer community to debug issues needing expert attention and gather feedback on Temporal features and APIs
• ▹Write public technical documentation describing Temporal concepts and APIs
• ▹Occasionally support customers directly when engineering expertise is needed
• ▹Travel to meet coworkers once or twice a year
• ▹Optionally attend developer conferences

Requirements

• ▹8+ years of professional work experience
• ▹Proven experience 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 using AI to improve quality, not only increase quantity
• ▹A sense of taste in code and software development practice — opinionated and thoughtful, not dogmatic
• ▹Fluency in multiple programming languages, and an affinity for learning new ones
• ▹Deep experience with concurrent programming (mutexes, atomics, and other concurrency primitives)
• ▹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
• ▹A track record of open source software contributions, including to third-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

What we offer

• ▹Fully-remote company — no requirement to work from an office
• ▹No 24/7 on-call pager duty
• ▹Most work is open source — PRs and comments are open to the public
• ▹Mostly written communication, with meetings kept to status updates and thorny issues

About the company

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on delivering features faster. Temporal is on a mission to be the reliable foundation of every developer's toolbox. Its values are curiosity, drive, collaboration, genuineness, and humility.