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Senior AI Platform Engineer

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Job ID 308734 Date posted 07/03/2025 Location : Bengaluru, India

Job Purpose and Impact

The Senior AI Platform Engineer for AI Ops in AI & Data Science designs, builds and operates the shared MLOps / LLMOps platform that powers Cargill’s data-science and GenAI products. You will own CI/CD pipelines for data ingestion, model training, evaluation and deployment; automate GPU/CPU orchestration across clouds; and embed Responsible-AI, observability and cost-optimization into every stage of the lifecycle. Success is measured by model-to-production velocity, platform uptime, and total-cost-of-ownership improvements 

Key Accountabilities

  • Design & Build  
      • Develop multi-agent workflow automation patterns using Agentic AI 
      • Process redesign and mapping to agentic workflow patterns 
      • Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python). 
      • Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents 
  • Platform Ops 
      • Extend evaluation, automated testing, canary rollout, and rollback for AgentOps. 
      • Profile inference latency, GPU/CPU utilization, and memory; deliver quarterly cost-to-serve reductions  
  • Operational Excellence  
      • Own on-call runbooks, SLOs, and incident reviews; embed observability.
  • Enablement & Mentoring 
      • Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs.

Qualifications

  • Minimum: 4 years building production software or data platforms .

  • Typical: 5–8 years, including 2+ years with cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software devlopment

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