Job Details

Overview

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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 Role location is San Francisco. This is a full-time, on-site Engineering position.

Compensation: $200K – $350K, Offers Equity

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: define the core components of the human mind, build strong mind architectures, provide customers confidence that minds improve over time, and advance 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

• LLM Expertise & Application: deep understanding of how LLMs work with proven ability to apply them effectively, push their performance, and optimize through advanced prompt engineering techniques.
• Python Performance Mastery: strong experience with Python beyond surface level—expert with asynchronous programming, event loop optimization, and performance tuning for high-scale applications.
• RAG & Context Engineering: hands-on experience with retrieval-augmented generation, context engineering, and evaluation frameworks for LLM performance optimization.
• ML Engineering Bridge: skilled traditional software engineer with deep familiarity in ML/AI systems—you understand both the engineering and AI sides without needing a research background.
• Systems & Product Focus: ability to architect scalable backend systems while building AI-powered features that directly impact user experience and product outcomes.
• Bonus: Previous experience with graph-based retrieval and graph systems, AWS and cloud infrastructure understanding, and hands-on experience fine-tuning models.

Why You'll Love It Here

We work on hard problems. Our team is full of former founders and entrepreneurial individuals who are taking on immense initiatives.

There is extreme upside with very competitive salary and equity in a company on a breakout trajectory.

We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.

Benefits

• Unlimited Learning Stipend: support your growth and development through books, courses, or conferences.
• Health, Dental, Vision: comprehensive coverage.
• 401k covered by Human Interest.
• Relocation support to SF (as needed).

Compensation Range

$200K - $350K

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet