Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Engineer, AI (Agent Systems): Developing high-performance inference and orchestration layers for proactive AI chat applications with an accent on reliability, low latency, and production-grade task completion. Focus on designing robust APIs, managing LLM integration pipelines, and ensuring system scalability under heavy production traffic.
Location: Must be based in Beijing, China (Remote role with location constraint).
Company
is building a proactive AI-powered chat application designed to handle long-running workflows and real-world task automation for global users.
What you will do
- Build and operate production backend systems powering AI-driven features.
- Design inference pipelines, orchestration layers, and service boundaries for AI models.
- Take ownership of production concerns including monitoring, logging, and incident response.
- Optimize latency and throughput across inference, caching, and streaming services.
- Ensure stable and clear API integration between frontend clients and AI/ML systems.
- Drive iterative performance improvements based on real-world production usage data.
Requirements
- Strong background in backend engineering within production environments.
- Experience managing high-throughput, low-latency service architectures.
- Familiarity with AI inference patterns including LLMs, embeddings, and multimodal models.
- Proven ability to debug and maintain distributed systems under load.
- Bias toward shipping and learning from real-world production environments.
Culture & Benefits
- High talent density environment with a focus on hands-on execution.
- Collaborative decision-making process within a small, world-class team.
- Fast-paced development cycle balancing high quality with rapid iteration.
- Opportunity to contribute to a product aimed at providing practical AI benefits to billions of users.
Hiring process
- Evaluation of application by the technical team.
- 3 to 4 virtual or onsite interviews.
- Prompt, transparent decision-making process.
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