AI Solutions Engineer, Pre-Sales- W&B

About The Role

As an AI Solutions Engineer you will sit at the intersection of cutting‑edge AI infrastructure and the world’s most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and Core Weave’s AI cloud.

• Own the technical wins by building proof of value (PoVs) and partner with Account Executives to drive discovery, solution design, and successful technical evaluations.
• Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the Core Weave and Weights & Biases ecosystem.
• Design and deliver compelling live demos, proof‑of‑value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine‑tuning, evaluation, and inference at scale.
• Architect modern ML and GenAI systems, including distributed training, RAG pipelines, multi‑agent systems, LLM fine‑tuning workflows, and inference solutions.
• Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles.
• Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering.
• Partner closely with Product and Engineering to relay customer feedback, shape roadmap priorities, and improve the end‑to‑end AI developer experience.

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer‑facing technical role.
• Strong proficiency in Python (bonus: Type Script/JavaScript) and experience building production‑grade ML or GenAI applications.
• Hands‑on experience training, fine‑tuning, evaluating, debugging, and deploying deep learning or LLM‑based systems.
• Experience with modern GenAI architectures including retrieval‑augmented generation (RAG), tool‑using agents, evaluation frameworks, and guardrails.
• Comfortable designing cloud‑native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices.
• Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value.
• Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact.
• Thrives in fast‑paced environments and can manage multiple customer engagements simultaneously.

• Experience building and evaluating agentic applications using frameworks such as Lang Chain, DSPy, Llama Index, CrewAI, Open Claw, or similar ecosystems.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, Tru Lens, Deep Eval).
• Hands‑on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine‑tuning, TRL, Unsloth, or similar fine‑tuning stacks; experience with RL to improve agentic systems is a big plus.
• Experience operating distributed workloads using Slurm, Ray, or Kubernetes.
• Experience with inference optimization and serving frameworks such as vLLM, TensorRT‑LLM, Triton, or TGI.
• Experience in MLOps/LLMOps platform engineering or supporting enterprise AI deployments.

Base salary range for this role is $165,000 to $242,000, determined based on job‑related knowledge, skills, experience, and market location. In addition to base salary, there is a discretionary bonus, equity awards, and a comprehensive benefits program.

• Medical, dental, and vision insurance – 100% paid by Core Weave
• Company‑paid Life Insurance
• Voluntary supplemental life insurance
• Short and long‑term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Employee Stock Purchase Program (ESPP) participation
• Mental Wellness Benefits through Spring Health
• Family‑forming support provided by Carrot
• Paid Parental Leave
• Flexible, full‑service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• Cultivated casual work environment
• A…