AI Engineer - Enterprise

Requirements:

• 4–8 years of experience in AI Engineering, Applied AI, Machine Learning Engineering, Infrastructure Engineering, Field Engineering, Solutions Architecture, or a similar technical role.
• 3+ years of experience in customer-facing AI/ML or infrastructure roles, with a proven track record of leading technical workstreams for enterprise customers.
• Strong Python development experience.
• Proven experience deploying production AI or machine learning systems in enterprise environments.
• Hands-on experience with Large Language Models (LLMs), open-model inference frameworks, and modern model-serving stacks.
• Experience supporting model training, evaluation, and fine-tuning workflows, including SFT, DPO, and RFT.
• Strong understanding of cloud platforms, including AWS, Azure, or GCP, with hands-on experience in Kubernetes...