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.