AI Solutions Engineer, Pre-Sales- W&B

SupportFinity™; San Francisco (CA); On-site; USD 165,000 - 242,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Tuition Reimbursement

Job summary

SupportFinity™ is looking for an AI Solutions Engineer to bridge cutting-edge AI infrastructure and ambitious teams. You will own technical wins, lead conversations, and architect scalable solutions using Weights & Biases and CoreWeave’s AI cloud.

This role requires strong experience in ML engineering, proficiency in Python, and expertise in cloud-native architectures. You will engage with customers to drive solution designs that translate business objectives into measurable outcomes, while promoting innovative AI practices.

Qualifications

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or similar.
• Hands-on experience training, fine-tuning, and deploying deep learning systems.
• Excellent communication and ability to translate technical concepts.

Responsibilities

• Build proof of value (PoVs) and partner with Account Executives.
• Lead technical conversations with engineers and researchers.
• Design and deliver compelling live demos and prototypes.

Skills

Python

TypeScript/JavaScript

ML architectures

MLOps

Deep learning

Cloud-native architectures

Education

Experience in Solutions Engineering or related field

Tools

AWS

GCP

Azure

Hugging Face Transformers

Kubernetes

Job description

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 CoreWeave’s AI cloud.

What You’ll Do

• 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 CoreWeave 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.

Who You Are

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer‑facing technical role.
• Strong proficiency in Python (bonus: TypeScript/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.

Preferred

• Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval).
• 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.

Salary and Compensation

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.

Benefits

• Medical, dental, and vision insurance – 100% paid by CoreWeave
• 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 culture focused on innovative disruption

Equal Opportunity Employment

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

Export Control Compliance

This position requires access to export‑controlled information. Applicants must either be a U.S. person (U.S. citizen or national, lawful permanent resident, refugee, or asylee) or be eligible to access the information without a required export authorization, or be eligible and reasonably likely to obtain the required authorization from the applicable U.S. government agency.