Temporal Technologies
Staff Software Engineer, AI Foundations (AI Agent Optimization)
$170K–$278K
United States (Remote) +1 · Remote · Staff · Full-time · Posted Oct 15, 2026
- Location
- United States (Remote)
Canada (Remote) - Experience
- 8+ years of professional work experience.
- Education
- BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.
About the job
Leads the design and development of systems that optimize AI agents for token cost, response time, and output quality, while supporting Temporal users and its developer community.
What you'll do
- Design and build reliable agentic coding systems and optimization mechanisms.
- Own features end to end, collaborating across teams to improve reliability and developer experience.
- Advise on AI design patterns, assist the developer community, and write public technical documentation.
What they ask for
- Proven experience optimizing AI systems using machine-learning and systems techniques.
- Experience with generative AI, particularly agents and coding.
- Deep experience with concurrent programming and fluency in multiple programming languages.
- Experience designing APIs and documenting public libraries or modules; strong technical communication skills in English.
Nice to have
- Familiarity with Temporal’s programming model or a record of open-source contributions.
- Experience with large-scale distributed systems, machine learning, model training, data science, or machine-learning systems.
Pay
$169,600 – $278,250 (base salary)
Tools
Python, TypeScript, Java, Go, Temporal, Codex, Claude Code
AI focus
Optimize AI agents for token spend, response time, and quality using techniques such as model routing, multi-agent architecture, cache policy, and context management; build agentic coding systems and investigate AI application patterns.
Model-written summary · the original posting is authoritative