At FurtherAI, we’re creating AI Agents to automate tasks traditionally requiring human expertise. As the Founding Applied Research Engineer, you’ll work on developing and productizing product-focused solutions, leveraging Large Language Models (LLMs) and Vision Language Models (VLMs) to solve real-world challenges and push the boundaries of what AI can achieve.

LLMs can solve 80% of a problem, but the leap from 80% → 100% is where true innovation happens. Your mission: capture the peaks of intelligence while ensuring the reliability and consistency of human-level performance.

This is an in-person role based in San Francisco, CA.

Kind of challenges you’ll work on

Accurately extract structured and unstructured data from any type of document.
Design systems to detect AI failures to escalate them to human reviewers.
Build intelligent agents capable of autonomously navigating websites and filling forms.
Develop a rule engine that validates data based on English-language rules

What we’re looking for

Passion for iterating fast and building things - if you’re exceptional in this area, other requirements are optional.
Experiment with novel techniques to improve the accuracy and reliability of LLMs and VLMs.
Expertise in fine-tuning existing foundation models.
Proficiency in creating and curating training and evaluation datasets
Deploying LLMs in production environments
Staying up-to-date with the latest advancements and trends in AI.
Bonus: Publishing in leading AI/ML conferences (e.g., NeurIPS, CVPR, ACL).

Perfect Opportunity if you want to

Build new product experiences that use AI agents as centerpiece
Work with cutting-edge LLM and VLM models
Be one of the first employees in a fast-paced startup
Start your own company in the future (half of our team is ex-founders!)

FurtherAI

Founding Applied Research Engineer

Onsite in 🌁 San Francisco, CA$100K - $200K & 0.25% - 2% Equityfull-time