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AI Architect

TalentOla

  • Strong experience in designing and implementing high-performance, large-scale distributed systems
  • Proven experience in implementing and deploying AI/ML platforms at scale
  • Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering
  • Knowledge of MCP (Model Context Protocol) servers
  • Hands-on experience in LLM inference optimization, including batching and caching strategies
  • Strong experience with Kubernetes and cloud infrastructure (AWS/Azure/GCP)
  • Proficiency in at least one programming language (Python, Java, Go, etc.)
  • Expertise in designing agent data stacks & retrieval systems, including:
  • Vector databases
  • Hybrid search
  • Data freshness strategies
  • Memory systems
  • Graph reasoning
  • BM25 and advanced retrieval techniques
  • Key Responsibilities

    • Architect and deliver scalable, high-performance distributed systems
    • Design and deploy AI/ML and GenAI platforms at enterprise scale
    • Build and manage agent-based architectures, including:
    • Prompt and context engineering
    • MCP servers
    • Evaluation frameworks
    • Optimize LLM inference pipelines for latency, throughput, and efficiency
    • Design and implement agent data & retrieval systems (vector DBs, hybrid search, memory, graph-based reasoning)
    • Lead Kubernetes-based, cloud-native deployments
    • Provide technical leadership, architecture governance, and hands-on mentoring to engineering teams

Vacancy posted 12 hours ago
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