We are seeking a highly inquisitive and hands-on AI Engineer to assist us in developing and continually enhancing intelligent workflows within our product. This position lies at the convergence of model experimentation, AI-driven product development, and full-stack implementation.

You will collaborate closely with the founders to prototype, integrate, and optimize the deployment of LLMs and other AI systems throughout our platform. This role is technical, creative, and fast-paced, perfect for an individual who excels in an experimental setting and utilizes AI tools on a daily basis.

What You’ll Do

Design and implement intelligent workflows powered by foundational models (OpenAI, Claude, Gemini, etc.)
Investigate and incorporate multi-step reasoning through Chain-of-Thought and agent-style methodologies
Fine-tune open-source models or conduct prompt tuning experiments to enhance task accuracy
Utilize tools such as Cursor and Claude Code to rapidly prototype and iterate on products
Engage across the tech stack to integrate AI features (Node.js + Supabase + React)
Conduct micro-model evaluations to assess hypothesis-to-output cycles
Leverage AI to enhance your own workflow and automate internal tools
Contribute to our experimentation engine to determine the optimal use of models
Implement AI Voice agents

Required Qualifications:

Prior experience in a startup environment, adaptability to chaos, enthusiasm for learning new skills, and a proactive approach towards responsibilities.
Familiarity with foundational models (such as OpenAI, Gemini, Claude, Mistral, etc.).
In-depth knowledge of prompt engineering, reasoning pathways, agent orchestration, and invoking tools.
Practical experience in model fine-tuning and utilizing vector stores.
Proficient in using Cursor or Claude Code, with daily usage preferred.
Solid backend expertise in Node.js and Supabase/Postgres.
Ability to create UI flows using React.
A strong passion for leveraging AI not merely as a tool but as an integral aspect of product design.
A startup mindset: humble, resourceful, and accustomed to a fast-paced environment.

Preferred qualifications:

Experience working with LiveKit or real-time communication platforms
Exposure to LangChain, LlamaIndex, or similar agent frameworks
Product-minded engineer, understands the “why” behind features and contributes to UX/feature design
Experience translating abstract AI capabilities into intuitive product workflows

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