AI Engineer - Llmops

Fractal Analytics · Hyderabad

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Fractal Analytics

Fractal Analytics is hiring in Hyderabad in technology software. This role looks for around 8+ years of experience.

Skills

  • Azure
  • LLMOps
  • Azure Kubernetes Service
  • Databricks
  • Jenkins
  • Snowflake
  • Helm
  • CI/CD
  • Kubernetes

The role

An LLMOps engineer at a technology software company designs and operates LLM applications using LLMOps, Azure Kubernetes Service, and Databricks, with cloud deployment and incident support across enterprise environments. Expertise in Jenkins and Snowflake supports automated releases and secure application operations.

Full job description

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.