AI Engineer (Ed tech | Start-up | LLM)

Our client is a well-funded Silicon Valley startup on a mission to revolutionize how high-potential young people learn and grow. Backed by a leading investment group, this company is building an intelligent learning platform that goes far beyond traditional online education. By deeply integrating state-of-the-art AI with the latest findings in educational science, the organization is creating a talent development engine for the AI era—one that continuously adapts to each learner, maximizes efficiency, and helps cultivate the uniquely human skills needed to thrive in a rapidly changing world.

This is an opportunity to join an ambitious, fast-moving team at the forefront of educational technology innovation, delivering global impact for the next generation of thinkers, creators, and leaders.

Responsibilities

• Architect and lead large model technology strategy, including model selection, fine-tuning, and deployment for learning applications
• Design and implement multi-Agent AI systems (learning coach, thinking coach, etc.) that deliver high-quality, interactive user experiences
• Build and optimize Retrieval-Augmented Generation (RAG) systems and prompt engineering pipelines
• Develop core Agent functionalities: dialogue understanding, task planning, tool use, memory, and routing
• Integrate AI systems with backend infrastructure and user-facing platforms, ensuring scalability, reliability, and low-latency performance
• Establish model evaluation, monitoring, and A/B testing frameworks
• Collaborate with product and education experts to translate learning science knowledge into scalable AI solutions
• Track and experiment with the latest advancements in LLMs, Agent architectures, and multimodal AI
• Share best practices, publish technical insights, and contribute to a culture of innovation

Requirements

• 5+ years of AI/machine learning experience, with at least 2 years focused on large model or LLM-based development
• Proven expertise with Transformer-based models (GPT, Claude, Gemini, LLaMA, etc.) and deep learning frameworks (PyTorch or TensorFlow)
• Experience with model fine-tuning (LoRA, QLoRA, etc.), prompt engineering, and RAG systems
• Proficiency in Python; familiarity with LangChain, LlamaIndex, or similar tools
• Strong knowledge of cloud platforms and MLOps best practices
• Demonstrated ability to build and optimize scalable AI systems from the ground up
• Ability to read and implement research papers, quickly adapt to new technologies, and balance innovation with engineering realities
• Master’s or PhD in Computer Science, AI, or related field (top global universities preferred)
• Excellent communication and teamwork skills; fluent English required
• Bonus: Experience in educational technology, open-source contributions, or multilingual abilities (Chinese preferred)