Backend Engineer, AI (Agent Systems)

Job Scope Tune latency and throughput across inference, caching, batching and streaming. Take ownership of production operations, including monitoring, logging, alerting and incident response. Develop and run backend systems that power AI features in production.

Design inference pipelines, orchestration layers and service boundaries around models.

Comfortable troubleshooting distributed systems under heavy load. Familiarity with AI inference patterns such as LLMs, embeddings and multimodal models. Focus on shipping and learning from how systems behave in production.

Solid backend engineering fundamentals in production environments. Experience operating high-throughput, low-latency services. Tech Stack Kubernetes OpenAI / Anthropic / open-source LLMs Python Docker SQL & NoSQL PyTorch Node.js We regret that only shortlisted candidates will be notified.

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