3 дня назад
Staff Software Engineer (Agent Optimization)
169 600 - 278 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (Agent Optimization): Designing and building agentic coding systems and optimization mechanisms for Temporal users, with an accent on token spend, response time, result quality, and AI application patterns. Focus on model routing, multi-agent architecture, cache policies, context management, concurrency, and reliable developer-facing APIs.
Location: Remote in the United States or Canada
Salary: $169,600–$278,250 annually, depending on geographic tier and level; equity is offered.
Company
provides an open-source platform and reliable foundation for AI applications, including agents and data pipelines.
What you will do
- Lead agent optimization efforts focused on token spend, response time, and output quality.
- Design and build reliable agentic coding systems and tools for users.
- Develop AI application patterns involving model routing, multi-agent architectures, cache policies, and context management.
- Own new features end to end and collaborate across teams to deliver reliable APIs and developer experiences.
- Work with Python, TypeScript, Java, and Go while contributing to agent skills and ecosystem integrations.
- Support the developer community through expert debugging, technical documentation, and best-practice guidance.
Requirements
- 8+ years of professional software engineering experience.
- Proven experience optimizing AI systems using machine-learning and systems techniques, particularly for agents or coding.
- Deep experience with concurrent programming, including mutexes, atomics, and other concurrency primitives.
- Experience designing public APIs, writing documentation, and contributing to large-scale distributed systems.
- Fluency in multiple programming languages and strong written and verbal English communication skills.
- A BS or MS in Computer Science or a related field, or equivalent production software experience.
Nice to have
- Familiarity with ’s programming model.
- Open-source contributions, including contributions to third-party libraries.
- Background in machine learning, model training, data science, or machine-learning systems.
- Graduate degree in Computer Science.
Culture & Benefits
- Remote work from the United States or Canada.
- Travel to meet coworkers for one week once or twice a year.
- Most work is open source.
- Optional attendance at developer conferences to present technical work.
- Equity is included in compensation offers.
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