Senior DevOps & Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior DevOps & Infrastructure Engineer (AI): Building and optimizing a platform for RL and evaluations for frontier AI agents with an accent on scalability and high-performance distributed systems. Focus on optimizing RL infrastructure at frontier scale and implementing reliable containerized orchestration.
Location: On-site only. Must be based in or be able to relocate to the San Francisco Bay Area or Singapore
Company
is a YC W25 startup developing an agentic RL platform used by frontier labs, Fortune 500 companies, and startups to scale AI agent evaluations.
What you will do
- Build and expand the existing RL and evaluations framework.
- Optimize RL and evaluation infrastructure at frontier scale.
- Design and implement scalable, high-performance distributed systems.
- Manage and optimize containerized applications and orchestration platforms.
Requirements
- Experience with AWS, Kubernetes, Docker, Redis, Linux, Python, and PostgreSQL.
- Proficiency in systems design, performance security, and CI/CD management.
- Hands-on experience with large-scale system architecture projects.
- Must be able to work on-site in the San Francisco Bay Area or Singapore.
Nice to have
- Startup experience in early-stage technology companies.
- Deep familiarity with current AI tools and LLM capabilities.
- Understanding of LLM evaluation and RL frameworks and methodologies.
- Strong communication skills for remote collaboration across time zones.
Culture & Benefits
- Opportunity to work with a high-caliber team of Olympiad medallists and AI researchers.
- Unlimited access to API credits for leading AI providers including OpenAI, Anthropic, Gemini, and Cursor.
- Backing from top-tier VCs including YC and A16Z.
- Support for relocation and visa sponsorship for strong full-time candidates to the USA or Singapore.
Hiring process
- Two technical interviews.
- One-week work trial.
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