Generative AI Engineer

About Base0

Base0 is building the future of context-aware AI — a connected brain that follows you across your workflow, learns your projects in depth, and executes tasks with full contextual awareness. At the center is our intelligence layer : systems that extract project knowledge, organize it into a reusable workspace, and deliver precise, context-rich outputs across tools.

We’re a fast-paced, early-stage startup with a founding team that has built, scaled, and exited category-defining companies. Our culture values speed, ownership, and impact — every team member plays a pivotal role in shaping the product.

Role Summary

We’re hiring a Generative AI Engineer to design, build, and optimize Base0’s core intelligence systems. You’ll work across knowledge extraction, context retrieval (GraphRAG), prompt engineering, and LLM evals & rubrics.

Key Responsibilities

• Knowledge Extraction : Build pipelines that capture work specifications, decisions, and requirements from AI conversations — distinguishing signals from noise.
• GraphRAG Development : Implement and optimize graph-based retrieval systems for precise, low-latency context delivery.
• Prompt & Agent Design : Engineer and maintain advanced multi-step prompts and workflows for extraction, synthesis, and retrieval.
• Evaluation Frameworks : Develop LLM-as-judge systems and rubrics to measure extraction quality, contextual accuracy, and reliability.
• Model Optimization : Apply fine-tuning, adapters, or lightweight training where beneficial; manage data quality and ontology standards.
• Production Deployment : Ensure systems run efficiently at scale (latency, cost, monitoring, reliability).

Must-Have Qualifications

Preferred Qualifications

Why Join Base0?

We’re on a mission to eliminate the friction of context management by giving every AI you use full knowledge of your projects, preferences, and past work. As our Generative AI Engineer , you’ll be building the intelligence layer that transforms how humans work with AI.

You’ll own systems that sit at the core of the product, work directly with founders, and see your work ship to real users in days, not months.

To apply : send your resume and a brief note about an LLM system you’ve built to