Applied AI Engineer

Why Delphi?

At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.

The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.

Our mission is bold :

• Make human wisdom abundant, personalized, and discoverable.

• Ensure “Send me your Delphi” becomes as common as “Drop your LinkedIn.”

• Preserve legacies, unlock opportunities, and scale brilliance across generations.

We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here ). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.

Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.

Learn more about Delphi and this position by calling the CEO’s digital mind here!

The Role

As our AI Engineer, you will architect and implement improvements to the backbone of our Delphi mind architecture. The architecture is powered by knowledge graphs that capture information about the person as well as their associations, reasoning patterns, and conceptual frameworks that make each mind unique.

Unlike traditional RAG systems that treat knowledge as a flat collection of documents, we’re building rich, hierarchical representations that mirror how human experts think and reason.

What You’ll Do

• Graph Architecture & Design: design scalable knowledge graph architectures, develop novel embeddings to capture nuanced relationships, and build efficient indexing and retrieval for real-time querying.

• Evals for the Mind: d efining the core components of the human mind, building strong mind architectures, giving customers confidence their minds improve over time, and advancing tone and style transfer to better reflect individuality.

• RAG System Innovation: build next-generation RAG systems that merge graph-based reasoning with neural retrieval and include robust evaluation frameworks to optimize quality across query types.

• Infrastructure & Scaling: scale infrastructure to support distributed, low-latency graph operations across thousands of instances with comprehensive monitoring and debugging tools.

What You Bring

• Expertise in building evals and fine-tuning models.

• Deep experience with retrieval-augmented generation, including both traditional and graph-based systems.

• Strong background in neural-symbolic approaches that combine reasoning with learning.

• Proven ability to design and scale distributed graph processing systems.

• Proficiency in Python and graph frameworks such as Neo4j, DGL, and PyG.

• Track record of translating academic research into production-ready systems.

• First-principles thinker, able to tackle novel technical challenges without established playbooks.

Why You'll Love It Here

• Ambition : Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.

• Extreme upside : Very competitive salary and equity in a company on a breakout trajectory.

• Unlimited Learning Stipend : Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.

• Health, Dental, Vision : Comprehensive coverage to keep to take care of your health.

• In-person collaboration : Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.

If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.