Founding AI Engineer

Who We Are

Figr is a venture-funded, early-stage startup developing next-generation design tools to automate workflows for UI/UX designers and teams. By combining the power of AI with user-centered design, Figr aims to transform the design process - from research to ideation to prototyping.

The Role

We are currently looking for an experienced Large Language Model (LLM) Engineer focused on fine-tuning and exploring LLMs for design purposes, including code generation for UI/UX. The role involves an end-to-end journey of creating data and fine-tuning open-source LLMs.

If you have a knack for problem-solving, possess excellent communication skills, and share our vision of redefining the democratization of AI, this role is for you!

Key Responsibilities

• Quality data curation and improvement for fine-tuning LLMs. This is the key responsibility, and we are looking for an out-of-the-box thinker who can brainstorm new ideas on how to tackle data-related problems.
• Fine-tuning LLMs.
• Deploying LLMs on GPUs with minimal latency on AWS/GCP.
• Leading the current Data Science team to the next breakthrough.

Skills Needed

• Excellent communication skills, allowing seamless collaboration within our diverse team.
• A minimum of 3-5 years of hands-on experience with PyTorch.
• Deep understanding of the Transformers architecture, its underlying components, and new SLM/LLM architectures.
• Proficiency in determining which metrics/loss functions to track for your use case.
• Experience with working on Lora, QLora, LLMs optimization techniques, and deployment strategies.
• Hands-on experience with multi-GPU training.
• Ability to implement research papers and stay updated with the latest trends that could be useful for our use case.
• Experience with Git and conducting code reviews.

Bonus Points For

• A dislike for the status quo and authority bias.

Apply

Fill out the following form: Form
Or
Reach out to Chirag Singla on LinkedIn or via email at chirag@figr.design