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AI Engineer - LLM/Agentic AI

Early Applicant
  • Posted 17 days ago
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Job Description

Responsibilities

  • Design and implement asynchronous multi-agent orchestration.
  • Own end-to-end latency from user message to AI response.
  • Build resilient inference pipelines that gracefully degrade under load.
  • Implement intelligent request routing and load balancing for AI workloads.
  • Migrate critical AI conversation flow from monolith to dedicated services.
  • Implement WebSocket/streaming infrastructure for real-time chat.
  • Design circuit breakers and fallback strategies for AI model failures.
  • Build comprehensive observability for AI system performance.
  • Optimise credit data retrieval and caching strategies.

Requirements

  • 3-5 years building production systems handling > 10k concurrent users.
  • Proven experience with async/event-driven architectures (not just REST APIs).
  • Hands-on experience scaling ML/AI inference in production.
  • Deep understanding of caching strategies (Redis, in-memory, CDN).
  • Experience with message queues and real-time communication protocols.
  • Built systems integrating multiple LLM/AI models in production.
  • Experience with AI model serving frameworks (TensorFlow Serving, Triton, etc.).
  • Understanding of AI inference optimisation (batching, caching, model quantisation).
  • Knowledge of conversation state management and context handling.
  • Has debugged production issues under high AI inference load.

(ref:hirist.tech)

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Job ID: 152356429

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