What are the responsibilities and job description for the AI Product Engineer position at Magical Tome?
About Tome
Tome is an AI assistant for sales that enables a new way of working.
We use state-of-the-art models and techniques to simplify complex research and strategic planning for sellers. Tome can surface the most actionable knowledge about a customer from within internal systems as well as from public and proprietary intel across thousands of data sources.
Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and LinkedIn before this.
We design and build Tome in close partnership with our early customers-many of whom are mature enterprise sales orgs. We'll continue to work this way to ensure we build an enduring solution to longstanding problems in the industry.
tome.app / ai
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 Tome 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 Tome.
- Help build a world-class engineering team by recruiting and mentoring teammates.
Who you are
