Back
Tier-1 employer and metro Hyderabad increase applicant density despite niche LLM platform specialization.
Specialized LLM platform and enterprise governance skills transfer across industries but require specific operational experience.
Explicit multi-year platform and LLM experience plus CI/CD, IAM, and secrets requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement technology solutions for LLM platforms and associated enterprise integrations.
Ensure hardware and software compliance, security, and optimize system performance for production environments.
Collaborate with business and technology vendors to address system deficiencies and manage deployment planning.
Bachelor's degree in Computer Science, Engineering, or related technical discipline.
7+ years overall experience with 6-8 years as Platform Engineer, AIOps Engineer, AI/ML Operations Engineer, or Automation Engineer supporting enterprise platforms.
3+ years experience with LLM platforms, embeddings, vector/graph databases, prompt management, and ingestion pipelines in production.
2-3 years experience with Git-based repositories and CI/CD platforms (preferably GitLab or GitHub).
Experienced in platform engineering with specialization in LLM and AI/ML operations within enterprise contexts.
Proficient in Linux (RHEL), automation scripting, platform security, and enterprise governance practices.
Knowledgeable in Identity and Access Management (IAM) and secrets management solutions such as CyberArk or HashiCorp Vault.