AI Platform Engineer / MLOps Engineer

Description

This is a systems, infrastructure, and MLOps role focused on hosting, operating, and scaling GPU-backed systems in production Unix environments. The role owns and scales internal AI infrastructure powering high-performance LLM services, RAG pipelines, and agentic workflows across the enterprise.

Key Responsibilities

• Build, scale, and maintain GPU-context Kubernetes environments and Unix infrastructure hosting production LLM workloads.
• Integrate model-serving endpoints into core application services while maintaining production-grade APIs.
• Manage vector database performance, scalability, data freshness, retrieval quality, and ingestion pipelines.
• Implement end-to-end monitoring, tracing, prompt versioning, and fallback mechanisms for critical AI endpoints.
• Own service rollouts, deprecation, latency optimization, and operational incident response for high-throughput AI services.

What We Are Looking For

• Strong background as a Platform, MLOps, or Infrastructure Engineer with deep Unix and Kubernetes expertise, including containerized environments and GPU workloads.
• Proven hands-on experience hosting, operating, and scaling LLM systems and production RAG pipelines in live environments.
• Strong hands-on AWS knowledge, including networking fundamentals, IAM, cloud security, and orchestration.
• Solid Python skills for custom infrastructure tasks, production APIs, and service integration.
• Experience tuning vector databases and understanding context/token constraints, embeddings, and output reliability.

Nice to Have

• Hands-on experience with agentic AI systems and workflow orchestration frameworks.
• Familiarity with inference optimization, model-serving platforms, and LLM evaluation or quality-measurement frameworks.
• AWS or Kubernetes (CKA/CKAD) certifications.

Benefits

• Work with massive computational resources and cutting-edge technology in a data-driven, highly analytical environment.
• Direct ownership of next-generation AI platform architecture.
• Top-tier competitive compensation package and flexible working model.