Principal/Staff GenAI Architect/Engineer

Your Role

We are looking for an architect-level engineer who can take on our most ambitious generative AI projects as both architect and engineer. Youll be an individual contributor. Expect to:

• Set up optimized RAG/hybrid RAG systems.
• Build sophisticated agents.
• Fine-tune custom models.
• Customize open source models via extended pretraining to include deeper
• Optimize our most important API calls to receive maximal results on our evals.
• Quickly decide on the best models to use across our hundreds of API calls (or set up systems).
• Make intelligent tradeoffs on speed, scale, and quality.

Seniority Level

Hiring for Principal/Staff level engineers/architects. Typically 8-15y post-college experience and 2-5y experience in the generative AI space.

This role will report to the Head of Engineering.

Tech Stack

• Cloud: Azure
• Backend: Python (FastAPI), Redis, Postgres
• Frontend: React/Next.js, Node
• AI: OpenAI, Anthropic, Gemini, Meta, Mistral (choosing bestinclass per task)

What We're Looking For

Core Requirements

• Python and ideally React/Next.
• Proven record of shipping highquality products quickly.
• Deep experience working with LLM APIs and prompt engineering.
• Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.).
• Startup or LLMfocusedcompany experience.
• Ability to commute to San Francisco office ~3-5 days per week.

Soft Skills

• Clear, concise communicatorlow words:insights ratio.
• Ownership mindset: you do what you say and surface risks early.
• Ability to work well with ambiguity and low amounts of process.
• Excellent problem solving capabilities.

Passion & Dedication

• Genuine excitement for AI and building categorydefining products.
• Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.).
• Understanding that this will be much more than a 9to5. The high effort is easy when you love what you do, the company youre building, and the mission youre fulfilling.

NicetoHaves

• Legal or LegalTech experience.
• Strong DevOps skills on Azure (or AWS/GCP with quick rampup).
• Personal use of AI tooling (Cursor, CoPilot, Midjourney, etc.).
• Automation and productivityhack side projects.
• Engineering degree.

Interview Process (fast!)

1. Meeting with a sourcing manager or our Head of Ops.
2. Connecting with our Head of Engineering.
3. Meeting another engineer.
4. Final session with CEO.

We move very quickly for the right candidate.

Location

• San Francisco, CA
• No relocation budget, but you are welcome to apply if you are willing to move to San Francisco even if you don't already live here.
• In-office at least 3 days per week.