Core Responsibilities

The role involves owning outcomes end-to-end by selecting a problem, architecting and shipping an AI-powered solution, and measuring its impact. Responsibilities include building autonomous agentic systems and deploying custom AI agents for internal tools and automation across functions.

Requirements

Candidates must have hands-on experience shipping real solutions with LLMs, understanding concepts like system prompts, chains, and effective RAG implementation. A builder mindset is crucial, requiring the ability to wire AI models into automations, connect them to APIs, and operate with radical ownership in an ambiguous, rapidly changing environment.

Additional Information

Experience Level

0-2

Job Language

English

Work Mode

On-site