Familiarity with AI inference patterns (LLMs, embeddings, multimodal)
Comfortable debugging distributed systems under load
Bias toward shipping and learning from production behavior
Skills
Python
NodeJs
Pytorch
OpenAI
Anthropic
Kubernetes
Docker
SQL
noSQL
Backend Engineer, AI
Role
As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.
You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.
Focus
•
Build and operate backend systems that serve AI-powered features in production.
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Design inference pipelines, orchestration layers, and service boundaries around models.
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Own production concerns: monitoring, logging, alerting, and incident response.
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Optimize latency and throughput across inference, caching, batching, and streaming.
Ideal Experiences
Requirements
•
Strong backend engineering fundamentals in production environments.