AI Product Engineer

About Lightfield

Lightfield is a next-generation CRM that automatically captures customer interactions like emails, meetings, and support tickets and organizes them into structured CRM data, enabling deep analysis of customer activity and powerful automation.

Unlike traditional CRMs, Lightfield continuously learns from how you sell and who you sell to, directly from the words of customers and actual workflows in the system. With this data, Lightfield proactively manages customer tasks, automates personalized customer communication, and delivers the visibility and insights needed for teams to continually refine their go-to-market strategy.

The company is initially focused on becoming the first comprehensive system of record and go-to-market platform for high-growth technology companies. With a flexible and scalable model for data capture and organization, Lightfield is designed to be the last CRM and GTM-automation tool our companies will ever need.

Our team previously built Tome, a generative AI presentation product used by over 25 million people, gaining deep expertise in context management, effective evaluation loops, and user-interaction design for generative AI. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, and Salesforce.

About the role

We're looking for a driven, creative engineer who is excited about the challenge of leveraging LLMs to build exceptionally innovative product experiences.

You'll join us at the frontier of AI product development, developing industry-leading approaches to solve important customer problems.

Engineers at Lightfield own and drive projects from inception to impact, working with teammates of all functions along the way.

You'll also push our company's overall product and technical vision as we learn from each project and continue to scale.

What You'll do

• Collaborate with product leaders to identify customer problems, scope requirements, and implement LLM-powered solutions.
• Apply LLMs as reasoning engines to build domain-specific AI assistants.
• Create and enhance prompts, applying techniques like few-shot learning and chain-of-thought.
• Develop and optimize end-to-end RAG pipelines and agent architectures to leverage public and proprietary data.
• Improve end-to-end AI agent quality (e.g. relevance, fidelity, latency) via empirical evaluation and iteration.
• Build and enhance systems and tools that enable high-velocity experimentation (e.g. LLM-powered automated evaluation) and customized product experiences.
• Stay at the forefront of AI research and incorporate state-of-the-art techniques.
• Shape technical direction and best practices for AI application development at Lightfield.
• Help build a world-class engineering team by recruiting and mentoring teammates.

Who you are

Benefits & Perks