Senior AI Platform Engineer

Senior AI Platform Engineer

Position: Senior AI Platform Engineer

Experience: 10+ Years

Location: USA – Open to Relocate

Employment Type: Full-Time

Job Summary

We are seeking a Senior AI Platform Engineer with 10+ years of experience in cloud engineering, platform development, and production-grade AI infrastructure. The ideal candidate will have strong expertise in LLM deployment, MLOps/LLMOps, Kubernetes, cloud platforms, and AI orchestration, building scalable, secure, and reliable platforms for enterprise AI applications.

Key Skills & Responsibilities

• 10+ years of experience in Software Engineering, Platform Engineering, Cloud Infrastructure, or AI Engineering.
• Strong programming skills in Python, with experience developing scalable APIs using FastAPI or Flask.
• Build and maintain AI platforms supporting LLMs, Generative AI, RAG pipelines, and AI agents.
• Experience with MLOps/LLMOps, model lifecycle management, deployment automation, monitoring, and evaluation.
• Strong expertise in AWS, Azure, or GCP, including cloud-native AI services.
• Hands-on experience with Docker, Kubernetes, Helm, Terraform, and infrastructure automation.
• Deploy and manage AI/ML models using MLflow, Kubeflow, KServe, or similar frameworks.
• Experience integrating OpenAI APIs, Azure OpenAI, AWS Bedrock, or Hugging Face models.
• Implement AI workflows using LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
• Build scalable data and retrieval infrastructure using vector databases, embedding models, and distributed data pipelines.
• Establish CI/CD, model versioning, observability, logging, and performance monitoring for AI services.
• Implement AI security, IAM, secrets management, data protection, and responsible AI controls.
• Optimize inference latency, throughput, GPU utilization, scalability, and cloud infrastructure costs.
• Lead architecture discussions, mentor engineers, and collaborate with AI/ML, DevOps, and data engineering teams.

Preferred Skills

Python AI Platform Engineering Generative AI LLMs RAG AI Agents MLOps LLMOps Kubernetes Docker Terraform AWS Azure GCP FastAPI MLflow Kubeflow KServe LangChain LangGraph Vector Databases CI/CD GPU Infrastructure Observability Model Deployment AI Security

Preference: Candidates with strong hands-on experience building and operating enterprise-scale AI platforms who are open to relocating anywhere within the USA will be highly preferred.