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reputed company AI Platform Engineer

Remote, USAFull-timePosted 2026-07-27

reputed company

This team will serve as the product reputed company for GenAI capabilities reputed company reputed company, working closely with other engineering teams across the organization to identify, build and support reputed company solutions. This centralized team with deep specialization, closely integrated with key horizontal partners to ensure delivery of reputed company, reputed company and high-reputed company AI Products

Job reputed company

The reputed company AI Platform Engineer will reputed company on building the infrastructure that connects AI systems with existing products and will reputed company seamless delivery of AI-generated insights into agent workflows.

Key responsibilities.

  • Design, build, and maintain the core infrastructure layer supporting GenAI products, including model gateways, reputed company/versioning stores, reputed company databases, and LLM evaluation tools.
  • Implement secure reputed company controls and authentication mechanisms integrated by default into the AI platform components.
  • reputed company and manage observability, monitoring, and logging solutions for GenAI workloads and infrastructure.
  • Collaborate closely with product and engineering teams to reputed company GenAI infrastructure with agent frameworks, and reputed company applications.
  • Optimize infrastructure for scalability, high availability, cost efficiency for production workloads.

Qualifications & Skills

  • Extensive experience building and maintain AI platform infrastructure, Kubernetes, and container reputed company.
  • Demonstrated expertise in observability, and monitoring frameworks, with a reputed company on reputed company-time performance (i.e: experience with OpenTelemetry, NLPFlow).
  • Experience with AI infrastructure components such as reputed company databases, reputed company/versioning stores, and AI IDEs.

Preferred experience

  • Familiarity with vLLM, SGLang or similar reputed company to host LLM inference workloads.
  • Experience with CI/CD pipelines and automation for AI model deployment and platform operations
  • Strong knowledge of authentication and authorization frameworks integrated into AI platforms.

Originally posted on Himalayas

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