Staff Software Engineer, AI Foundations – AI Agent Optimization

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Oversee optimization initiatives for Temporal users regarding agents.

• Create tools and methods that enhance AI agents for cost efficiency and response speed without compromising output quality.

• Develop coding systems focused on agentic performance that yield superior results.

• Continuously enhance and broaden knowledge of agentic coding.

• Cultivate expertise in AI application development methodologies, techniques, emerging trends, and architectural designs.

• Take complete ownership of new features, working alongside other teams to ensure reliability and improve the developer experience.

• Utilize programming languages such as Python, TypeScript, Java, and Go.

• Act as a subject matter expert on AI design patterns and collaborate with field personnel on best practices and exemplary models.

• Troubleshoot issues within the developer community and collect feedback on Temporal's features and APIs.

• Produce public technical documentation regarding Temporal concepts and APIs.

• Offer expert engineering assistance to customers as needed.

• Work with members of the AI Foundations team who focus on agentic development, ecosystem integrations, policies, and security systems.

⛳️ Requirements

• 8+ years of relevant professional experience.

• Demonstrated expertise in optimizing AI systems using machine learning and systems methodologies.

• Strong interest and experience in generative AI, particularly regarding agents and coding.

• Proficiency in multiple programming languages with a willingness to learn additional languages.

• Extensive experience in concurrent programming, including mutexes, atomics, and other concurrency concepts.

• Experience in designing APIs and documenting publicly accessible libraries or modules.

• Excellent written and verbal technical communication skills in English.

• BS or MS in Computer Science or a related field, or equivalent experience in developing production-level software.

• Familiarity with Temporal’s programming model is a plus.

• A history of contributions to open-source software is desirable.

• Experience in large-scale distributed systems architecture and design is advantageous.

• A solid foundation in machine learning, model training, data science, or machine learning systems is a plus.

• A graduate degree in Computer Science is preferred.

🏝️ Benefits

• Equity.

• Opportunities for travel to meet colleagues once or twice a year.

• Optional attendance at developer conferences.

• Opportunities for open-source projects and public technical documentation.

• Reasonable accommodations for individuals with disabilities.