





Bangalore metro and 3+ years requirement create moderate competition for this niche LLM Ops role.
LLM-specific operational expertise and Azure OpenAI experience limit cross-industry transferability, increasing sensitivity.
Explicit 3+ years plus mandatory LLM/Azure OpenAI, CI/CD and Python/C# skills enforce moderate strictness.
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Own the development and evolution of LLMOps practices to ensure reliable, secure, and scalable deployment of AI-powered solutions.
Manage generative AI operational workflows including prompt lifecycle, model configuration, evaluation, and monitoring to maintain high-quality and consistent results.
Lead responsible AI rollout strategies incorporating A/B testing, feature flags, human-in-the-loop processes, and ensure governance with auditability and compliance.
3+ years experience in LLMOps, AI operations, software engineering, DevOps, cloud engineering, or related roles with hands-on exposure to generative AI and Azure OpenAI or similar platforms.
Proficient in CI/CD tools such as Azure DevOps or GitHub Actions and programming in Python or C#/.NET.
Bachelor’s degree or equivalent experience in computer science, engineering, or related field.
Location requirement: Bangalore, India.
Experience operating at the intersection of AI engineering and operational deployment with strong skills in cross-functional collaboration.
Familiarity with scalable AI system monitoring, evaluation frameworks, and continuous feedback to improve AI accuracy, cost-effectiveness, and user experience.
Demonstrated ability to implement governed, compliant AI adoption strategies in production environments for generative AI models.