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!)