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Tier-1 brand, metro location, general platform title with broad skills and LLM popularity increases competition.
Platform and devops skills transfer across industries, but LLM and enterprise governance needs moderate domain fit.
Explicit 7+ years plus mandatory LLM, platform, CI/CD, security and tooling experience makes filters stringent.
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Design and develop technology solutions aligning with company and user goals, specifically focusing on Large Language Model (LLM) platforms and related technologies.
Develop, document, and configure system specifications ensuring hardware/software compliance, security standards, and operational performance.
Identify and address system deficiencies, maintain data integrity, and coordinate system modifications including integration and testing of production environments.
Bachelor’s degree in Computer Science, Engineering, or related technical discipline.
7+ years overall work experience with at least 6-8 years in roles like Platform Engineer, AIOps Engineer, AI/ML Operations Engineer, or Automation Engineer supporting enterprise platforms.
3+ years experience with LLM platforms including embeddings, vector and graph databases, prompt management, and ingestion pipelines in production.
2-3 years experience with Git-based repositories and CI/CD platforms (GitLab or GitHub); strong Linux (RHEL), automation scripting, platform security, monitoring, and enterprise governance knowledge.
Experienced enterprise platform engineer with strong expertise in LLM technologies and production deployments.
Skilled in system architecture design, security compliance, and integration requiring cross-functional coordination and vendor interaction.
Practiced with platform automation, monitoring, and lifecycle management in regulated or enterprise environments.