Senior AI Engineer Data and AI

Experteer Overview In this role you design and deploy production-grade generative AI solutions that scale across the enterprise. You will build and integrate LLM-powered capabilities with secure, cloud-native architectures, working with AI leads and platform teams. Your work enables scalable AI services, robust governance, and measurable performance improvements. This is a hands-on, impact-driven position at the intersection of AI innovation and operational excellence.

Compensation / Benefits

• Design, develop, fine-tune and deploy generative AI models in production environments
• Build and maintain APIs and microservices with FastAPI to expose AI capabilities enterprise-wide
• Architect robust LLM pipelines and RAG systems with the AI Infrastructure team
• Integrate AI solutions into enterprise applications using secure, cloud-native architectures
• Ensure models are explainable, reliable, and compliant with governance standards
• Monitor and optimize model performance with evaluation frameworks and observability tools
• Collaborate with AI leads, ML engineers, and platform teams to deliver production-grade AI
• Support deployment with CI/CD pipelines and containerized/orchestrated infrastructure Tasks
• 10 years IT industry experience
• 7 years building data-driven software solutions
• Proficient Python with practical LLM, embeddings, and RAG experience
• 3 years hands-on AI development experience
• Experience with generative AI models, including multimodal models
• Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, governance frameworks
• Bachelor's degree in Computer Science, AI, or related field (or equivalent)

Preferred:

GPU-accelerated training/inference with NVIDIA tools (NIM, NeMo); vLLM; CI/CD for GenAI; Docker/Kubernetes GA;

CUDA/RAPIDS

Key requirements

• 100% paid medical, dental, and vision premiums
• 50% 401(k) match up to IRS max
• 20 days

PTO + 10

paid holidays

• Family Support programs including paid caregiver leave and fertility/family health assistance
• Hybrid work-from-home program (subject to role/tenure/performance)