3 дня назад
Backend Engineer, AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer, AI (Python/Node/PyTorch): Building and operating inference and orchestration systems that power reliable AI interactions and production APIs with an accent on latency, correctness, observability, and cost efficiency. Focus on designing high-throughput services, optimizing inference pipelines through caching, batching, and streaming, and resolving distributed-system incidents under load.
Location: Remote, based in China; interviews may be conducted virtually or onsite.
Company
is building AI-native applications for conversations, errands, organization, and workflows, with a focus on reliable long-running tasks and persistent context.
What you will do
- Build and operate backend systems serving AI-powered features in production.
- Design inference pipelines, orchestration layers, and service boundaries around language and multimodal models.
- Develop stable, observable APIs for mobile, desktop, frontend, and ML systems.
- Own monitoring, logging, alerting, and incident response for production services.
- Optimize inference latency and throughput through caching, batching, and streaming.
Requirements
- Strong backend engineering fundamentals in production environments.
- Experience operating high-throughput, low-latency services.
- Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
- Ability to debug distributed systems under load.
- Experience with Python, Node.js, PyTorch, SQL, NoSQL, Kubernetes, and Docker.
- Bias toward shipping and learning from production behavior.
Culture & Benefits
- Work with a small, high-talent-density, hands-on team.
- Make decisions collectively and move at a rapid pace while balancing quality with learning.
- Work independently, bring structure, and exercise judgment.
- Remote work with virtual and/or onsite interviews.
- Prompt hiring decisions after three, and no more than four, interviews when there is a strong fit.
Hiring process
- Applications are evaluated by technical team members.
- Expect three, and no more than four, interviews conducted virtually and/or onsite.
- A prompt decision follows the interview process.
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