AI Engineer

Your Skillset

• Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc.
• Expertise in full-stack development (Node.js, Next.js) and scalable systems.
• Strong proficiency in Python is a plus.
• Ability to reason about API orchestration, error handling, integration complexity.
• Experience building RAG systems.
• Experience building and integrating APIs (REST) in Node.js.
• Hands-on experience using AI-powered IDE tools such as Cursor.
• Experience properly using LLMs in different parts of a greater system.
• Deep knowledge of which models to be used whenCreating and using embeddings.
• Strong grasp of API architecture, performance tuning, and database optimization (SQL).
• Technical leadership: from design to deployment.
• Deep code quality standards: automation, testing, reviews, and focus on end-to-end ownership.
• Effective communicator across product, design, and business.
• Familiarity with cloud infra (AWS/GCP) and container tools (Docker, Kubernetes).
• Knowledge on social media (especially TikTok), both in a tech perspective and a consumer perspective.
• Past experience in video content classification/embeddings/tagging.

You’re the Type Who

• Builds like an AI native, automates, experiments, and ships at lightning speed.
• Brings a generalist mindset, curious, versatile, hands-on, and comfortable across the stack.
• Moves fast, builds with precision, and expects high standards.
• Thrives in early-stage startups where nothing is “someone else’s job”.
• Sees ambiguity as an opportunity to lead and learn.
• Thinks like a product builder, not just writing code, but shaping how AI enhances user experience and business outcomes.
• Is obsessed with pushing what’s possible with AI and scalable systems.