Founding Head of ML (Prompting / Agentic Systems / RAG Orchestration)

Our client is a venture-backed startup. Think FaceTime with a brain: powered by LLMs ML-generated video and real-time infra designed for trust intimacy and speed. They are reimagining how people talk to machines and each other.

Youll lead the development of their intelligent interaction layer blending prompting memory and agentic behaviour into seamless meaningful real-time conversations. From context-carrying to goal-driven agents youll help architect the soul behind the face.

What youll build:

An agentic orchestration layer for memory context-switching and real-time intent.

Retrieval-augmented generation (RAG) pipelines for grounded high-fidelity responses.

Prompting systems optimized for fast emotionally intelligent conversations.

Tools for prompt versioning observability and testing.

Custom fine-tuning for LLMs and eval loops that prioritize character fidelity.

Tight collaboration with video/audio ML infra and design teams to bring it all together.

Have shipped LLM-powered multi-agent or RAG-based systems in production.

Are comfortable with LangGraph CrewAI or building orchestration layers from scratch.

Understand prompt engineering deeply and know its limits.

Have experience evaluating and fine-tuning models for responsiveness and style.

Care about identity memory and coherence in human-AI interaction.

Want to help define what it feels like to speak to an AI.

Salary $120000 (USD) per year plus equity options available on top.

Platinum health insurance we cover the good stuff.

4% 401(k) match long-term thinking encouraged.

Flexible hybrid schedule in SF Bay Area or remote for the right person.

Were pre-seed so base comp is lean but the founding equity package and impact are real.

Early ownership in a team that values velocity and thoughtfulness.

AI Confidant included weird personal powerful.

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Required Experience:

Director