Lead AI Engineer

Job Description

Hybrid role

As an AI Lead at Weaver AI, you will be at the forefront of integrating AI capabilities into our cutting-edge design tool. Your primary focus will be on fine-tuning models to ensure we have the fastest, most cost-effective, and highest accuracy AI features. You will be responsible for setting up the LLM architecture, ensuring low latency, and managing our AI infrastructure.

• Fine-tune AI models for specific use cases to optimize performance and accuracy.
• Collaborate closely with the engineering team to integrate AI models into the product.
• Evaluate and benchmark models, ensuring they meet our latency and accuracy standards.
• Set up and manage infrastructure to support efficient AI model deployment.
• Work on model evaluation, benchmarking, and observability to ensure robust performance.
• Stay updated with the latest advancements in AI to continually refine our approach.

• 5 - 10 years of experience in machine learning, applied scientist or adjacent roles fine tuning models at tech companies.
• Hands-on experience fine-tuning models specifically for coding and code generation use cases.
• Experience building Small Language Models (SLMs).
• Owned AI architecture and technical direction for a product.

• Undergrad in CS.

• Manage latency and setup infrastructure for low-latency, high-accuracy AI model usage.
• Strong proficiency in Type Script/Node.js and Python
  .
• Experience with fine-tuning techniques like LoRA or distillation.

• Ability to own systems end-to-end and lead execution.

• Building a native design tool where code is the core differentiator.
• Focus on AI features to improve efficiency and accuracy in the platform.

• Experience in research and fine-tuning AI models, plus applied experience.
• Focus on model fine-tuning, evaluation, and infrastructure setup for low latency and high accuracy.

• 5+ years of experience, senior-level engineer with AI focus.
• Strong proficiency in Type Script, Node, and Python.

• This role reports to the CTO and collaborates closely with the engineering team.

• Salary range: $275k to $350k with some flexibility.
• Hybrid role based in the Bay Area, no visa sponsorship.

• Position to be filled as soon as possible.
• Interview process includes initial screening, technical interviews, and a take-home assignment.

• Lack of fine-tuned, efficient models impacting product experience.
• Need to establish internal AI infrastructure for better control and efficiency.

• Someone who has managed AI model fine-tuning and infrastructure setup.
• Background in applied AI roles, possibly from growth-stage companies or startups.

Meaningful stock options

• 2+ years of experience in software, SaaS, or IoT system implementation.
• Strong understanding of project coordination, resource scheduling, and implementation processes.
• Familiarity with IoT devices, APIs, and network connectivity preferred.
• Exceptional attention to detail, communication, and time management skills.
• Ability to manage multiple active implementations in a fast-paced environment.