Job 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.
Required Skills & Experience
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.
What You Will Be Doing
Tech Breakdown
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
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 887398
- Posted 1 day ago
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