AI Engineer

Our client is hiring an AI Engineer for a customer-facing role. You will partner directly with sophisticated enterprise clients to turn ambitious AI initiatives into production-ready systems, combining deep technical expertise with strategic advisory work.

This position is remote-friendly across the United States (with coastal office hubs), involves regular domestic travel for customer engagements, and is full-time with hybrid flexibility (minimum 3 days in office if near a hub). Visa sponsorship/transfer support is available for select candidates., * Lead technical discovery, scope and execute POCs, conduct model evaluations/benchmarking/load testing, and serve as a trusted advisor throughout the customer lifecycle

• Design, build, and deploy end-to-end production AI solutions in customer environments, handling infrastructure, security, compliance, and governance constraints while optimizing generative AI applications and workflows
• Advise on model selection and deployment; implement fine-tuning strategies (SFT, DPO, RFT); develop evaluation frameworks; and guide best practices for inference, optimization, and operationalization
• Own technical relationships across complex accounts, cultivate internal champions, address objections, and align technical/business stakeholders for successful long-term adoption
• Bridge customers and internal product/engineering teams by surfacing challenges, feature requests, and market trends that influence the product roadmap

• At least 4 years in customer-facing AI/ML or infrastructure roles (e.g., AI Field Engineer, Applied AI Engineer, Solutions Architect, ML Engineer, etc.) with a proven track record of leading technical workstreams and deploying production AI/ML solutions directly into enterprise environments
• Hands-on experience with LLM inference/training, open-source/open-model frameworks, modern model-serving architectures, fine-tuning (SFT required; DPO/RFT highly desirable), strong Python skills, GPUs/accelerated computing, AWS/Azure/GCP, Kubernetes/containers, and distributed AI/ML systems
• Exceptional communication, stakeholder management, consultative problem-solving, and the ability to engage both engineering teams and executive leadership while managing multiple priorities in a fast-paced setting, * Do you have any experience with startup environments? If so, explain.
• Have you ever had a customer-facing engineering role? If so, explain.
• Do you have experience with open-source AI models? If so, explain.