AI Solutions Engineer, Post Sales- W&B
About The Position
The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). We’re hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you’ll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally.
Requirements
- 3–5 years of relevant experience in a similar role
- Strong programming proficiency in Python
- Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT).
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate)
- Strong experience with Linux/Unix
- Excellent communication and presentation skills, both written and verbal
- Ability to break down and solve complex problems through customer consultation and execution
- Proven ability to manage multiple priorities in a fast-paced, dynamic environment
Nice To Haves
- Background in robotics
- TypeScript experience
- Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM
- Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes
- Familiarity with data pipeline tools
Responsibilities
- Collaborate with engineering teams to ensure smooth onboarding and adoption
- Act as a trusted advisor on best practices
- Represent the voice of the customer internally
- Partner directly with leading AI teams to optimize workflows
- Share technical expertise
- Influence our product roadmap based on real-world customer feedback
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- 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
- A casual work environment
- A work culture focused on innovative disruption
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
