> Markdown version of [/jobs/ext/3926513-principal-senior-solutions-engineer-top-of-stack-agentic-ai](https://www.wearedevelopers.com/jobs/ext/3926513-principal-senior-solutions-engineer-top-of-stack-agentic-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal / Senior Solutions Engineer - Top-of-Stack & Agentic AI - **Company:** Kelly Services Inc. - **Location:** Sacramento, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Software Code Optimization, Computer Programming, High-Level Architecture, Python (Programming Language), Machine Learning, Natural Language Processing, Software Systems, Workflow Management Systems, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Agentic-AI, Discretization, Information Technology, Optimization Algorithms, HuggingFace, Machine Learning Operations, TensorRT - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467206375&tx=KJ2929FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of combined experience in applied AI engineering, systems engineering, or technical pre-sales/solutions architecture with enterprise customers. * Deep theoretical and practical knowledge of model architectures, transformer fundamentals, model fine-tuning, and inference/training optimization techniques (e.g., quantization, model parallelism, memory optimization). * Hands-on experience designing or deploying autonomous agent frameworks, multi-agent orchestration, tool use, and structured workflow automation. * Strong programming proficiency in Python and modern deep learning frameworks (PyTorch, Hugging Face, TensorRT-LLM, vLLM, or equivalent runtimes). * Demonstrated customer-facing acumen with the ability to run technical discovery, design proofs-of-value (PoVs), and effectively present complex AI concepts to executive and research audiences. Desired Skills & Experience * Academic or commercial research background in machine learning, natural language processing, or autonomous systems prior to recent generative AI cycles. * Experience addressing enterprise concerns around data privacy, secure model inference, deterministic agent behavior, and evaluation benchmarks. * Prior experience at an AI-native startup, enterprise AI software vendor, or frontier applied AI organization. * Master's or Ph.D. in Computer Science, Machine Learning, Computational Mathematics, or related field, or equivalent practical experience. ## Description 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., * 40% Agentic AI Systems, Multi-Agent Orchestration & Workflow Design * 35% Inference & Training Optimization (Quantization, Runtimes, Model Serving) * 25% Applied Model Development, Evaluation & Tool Integration Daily Responsibilities * 45% Customer Architecture Discovery, PoV Scoping & Executive Briefings * 35% Hands-On Technical Solution Design, Prototype Validation & Technical Proposals * 20% Team Collaboration & Research/Product Roadmap Alignment The Offer * Commission eligible