Stand out for this role — generate a tailored resume and cover letter in about a minute.
Motion Recruitment Partners LLC in California seeks a Solutions Engineer - Agentic AI & Model Optimization for a full-time role. You will be the technical voice, architect autonomous agent systems, and run model optimization evaluations with enterprise customers.
You bring deep foundational AI knowledge, hands-on engineering depth, and client-facing leadership. Expect exposure to state-of-the-art AI workloads, secure production deployments, and opportunities to influence product and workflow
We are seeking a Solutions Engineer - Agentic AI & Model Optimization for a Full-Time role based in the California. Our client is a well-capitalized, next-generation enterprise technology provider purpose-building advanced AI software systems, autonomous agent factories, and scalable inference/training optimization pipelines. Their engineering platform enables enterprise customers to build, fine-tune, optimize, and deploy high-impact AI workloads and multi-agent workflows into secure production environments.
This is a premier opportunity to serve as the leading technical voice at the frontier of applied enterprise artificial intelligence. The #1 feature of this opportunity is the opportunity to deploy advanced model architectures and agentic frameworks backed by world-scale dedicated compute: you will partner with commercial leadership to architect autonomous agent systems, run model optimization evaluations, and demonstrate enterprise feasibility to Chief AI Officers and engineering leadership. We are seeking a researcher-grade or senior systems technologist with deep foundational AI knowledge (dating beyond recent trends) who combines hands-on engineering depth with consultative, customer-facing polish and leadership ambition. In exchange, you will work on state-of-the-art problems with massive computing support in a high-autonomy, growth-focused culture.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.