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Fractal Analytics

Posted 27 Aug 2026

AI Engineer - Llmops

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

Responsibilities:

  • Perform code reviews for LLM-based applications, ensuring adherence to coding standards, security guidelines, and architectural best practices.
  • Provide structured feedback to development teams to ensure compliance with enterprise standards.
  • Deploy LLM applications across SIT, UAT, and Production environments using CI/CD pipelines.
  • Design, implement, and manage Jenkins pipelines for automated build, test, and release processes.
  • Utilise Databricks Asset Bundles (DAB) for packaging, versioning, and promoting assets across environments.
  • Manage containerised deployments on Azure Kubernetes Service (AKS), including configuration, scaling, and cluster maintenance.
  • Implement AKS deployment strategies using Helm charts and container orchestration best practices.
  • Deploy and manage Snowflake applications, including database objects, role management, and environment migrations.
  • Implement secure configuration management, secrets handling, and access control across environments.
  • Monitor application performance and troubleshoot deployment-related issues.
  • Provide L1 on-call support, including initial incident triage, basic troubleshooting, log analysis, ticket handling, and escalation to L2/L3 teams when required.
  • Maintain deployment documentation, runbooks, and release standards across environments.


Requirements:

  • We are looking for candidates with strong expertise in Azure, LLMOps, AKS (Azure Kubernetes Service), and Databricks.

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