обновлено 8 дней назад
Product Engineer (Backend Rust)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Engineer (Backend Rust): Building and evolving core systems for AI safety, including high-throughput APIs and real-time policy enforcement, with an accent on low-latency and high reliability. Focus on designing production-ready Rust services, optimizing PostgreSQL queries, and ensuring system scalability under heavy load.
Location: Paris, France; hybrid work with a relocation package
Company
AI safety company building a safety, reliability, and optimization layer for AI systems through scalable policy testing, enforcement, and improvement.
What you will do
- Design and build low-latency, highly reliable backend services in Rust for real-time policy checks at scale.
- Own features end-to-end, including API design, database schemas, deployment, monitoring, and iteration.
- Improve system performance and reliability through connection pooling, caching, query optimization, and observability.
- Work across the stack when needed to solve product and engineering problems.
- Collaborate with product and research to turn requirements into production systems.
Requirements
- Experience building and shipping backend systems in Rust, Python, or Go.
- Experience with async Rust, including Tokio, and web frameworks such as Axum or Actix.
- Strong system design fundamentals, including reasoning about trade-offs, failure modes, and scaling.
- Experience with PostgreSQL, efficient queries, schema design, and performance debugging.
- Clear communication and effective collaboration skills.
- Fluent English required.
Nice to have
- Experience with ClickHouse, Redis, or Kafka and event streaming.
- Experience with LLM infrastructure, including LLM routing, inference systems, or RAG architectures.
- Background in high-throughput monitoring systems or fintech.
Culture & Benefits
- Competitive compensation package with equity.
- Flexible time off and paid time off aligned with local regulations.
- Best medical insurance in France.
- Learning and development support for courses, conferences, and skills growth.
- Hardware, tools, services, and subscriptions for AI agents and IDEs provided.
- Team off-sites twice a year.
Hiring process
- Introductory call with a colleague.
- Technical interview.
- Final call with the CEO and Head of Engineering.
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