AI Engineer, GenAI Enterprise Accelerator - San Francisco (Hybrid)

Posted 13 Days Ago
San Francisco, CA
Hybrid
182K-248K Annually
Mid level
Machine Learning • Software
The Role
The AI Engineer will lead implementations of Generative AI for enterprises, working directly with advanced software teams to deploy large-scale solutions. Responsibilities include designing GenAI pipelines, solving technical challenges, guiding teams in adopting AI technologies, and collaborating on scalable AI systems while staying updated with the latest advancements in GenAI.
Summary Generated by Built In

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.


Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.


Shape the future of GenAI for the world’s leading enterprises.


We are looking for an AI Engineer who is ready to help some of the world’s top enterprises integrate GenAI into their operations. In this role, you will work directly with advanced software and ML teams, helping them deploy large-scale GenAI solutions that drive real business outcomes. You'll be hands-on, solving complex, real-world problems with Generative AI, and playing a key role in transforming how these enterprises operate.


As part of the GenAI Enterprise Accelerator program, you’ll work with top-tier companies who are at the beginning of their GenAI journey. You’ll be at the forefront of this shift, directly supporting enterprises in adopting and scaling GenAI technologies. Your role will be to guide teams through the practical aspects of implementing LLMs and ensure they are getting the most out of Weights & Biases’ tools to enhance their AI capabilities.

Responsibilities:

  • Lead GenAI Implementations: Design, build, and optimize GenAI pipelines for enterprise clients, helping them integrate W&B tools to unlock the full potential of LLMs in their operations.
  • Hands-On Problem Solving: Partner with teams to understand their challenges and deliver technical solutions that meet their specific needs while navigating the complexities of productionizing GenAI.
  • Guide GenAI Adoption: Serve as a key advisor to help companies successfully implement GenAI at scale, ensuring smooth onboarding and continued success through W&B best practices.
  • Stay on the Cutting Edge: Keep up with the latest advancements in GenAI, bringing that knowledge to bear as you help enterprises push the boundaries of what’s possible with AI.
  • Customer-Centric Development: Provide continuous feedback to W&B’s product team, influencing the development of features based on real customer needs, challenges, and successes.
  • Develop Scalable AI Systems: Collaborate with customers to design robust, scalable systems that leverage LLMs, from proof of concept through full production deployment.

Requirements:

  • Based in the San Francisco Bay Area. This role will be hybrid with occasional travel to meet with customers
  • 3-5 years of relevant experience in similar roles, ideally working with enterprise clients or on large-scale machine learning projects.
  • Strong experience with Python and JavaScript, and a track record of success working with enterprise clients to solve technical challenges.
  • Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
  • Experience working in cloud environments (AWS, GCP, Azure) and knowledge of Linux/Unix systems.
  • Expertise with Transformers, PyTorch, Numpy, and Pandas, alongside strong software development best practices.
  • Experience with new LLM/AI tools (Llamaindex, Copilot/Cursor, vector databases, Langchain, instructor, outlines, ...) and techniques.
  • Experience with version control systems like Git, automated testing, and CI/CD pipelines.
  • Demonstrated experience building AI apps in production
  • A strong drive to stay ahead of the curve with GenAI research and apply those insights to help enterprises build real-world applications.

Why This Role Is Unique:

  • You’ll be working directly with some of the most advanced enterprises, helping them adopt and scale GenAI in high-impact, real-world applications.
  • You’ll be at the cutting edge of GenAI, working on projects that will shape how companies across industries use AI to solve their most critical problems.
  • Your work will directly influence the product roadmap for W&B’s GenAI tools, making you a key contributor to both customer success and product development.
  • You’ll gain exposure to diverse industries, solving unique and complex challenges in every engagement.

Our Benefits:

  • 🏝️ Flexible time off
  • 🩺 Medical, Dental, and Vision for employees and Family Coverage
  • 💵 Home office budget with a new high-powered laptop
  • 🥇 Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave (U.S. specific)
  • 📈 401(k) (U.S. specific)
  • Supplemental benefits may be available depending on your location

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].


#LI-Remote

Top Skills

JavaScript
Python
The Company
HQ: San Francisco, CA
132 Employees
On-site Workplace
Year Founded: 2017

What We Do

Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.

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