Lead AI Engineer $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
A persistent challenge in EdTech is creating educational content that captures student interest while addressing individual learning requirements. The market is saturated with one-size-fits-all learning solutions that fail to deliver meaningful outcomes. Evidence shows that educational materials lacking personalization or adaptability to diverse learning preferences result in declining student engagement and suboptimal learning outcomes. This situation compounds the pressure on educators, who must deliver customized, high-quality instruction within tight budgetary and time limitations.
LearnWith.AI addresses this challenge by leveraging artificial intelligence to transform educational content development. Our mission extends beyond simply deploying AI tools—we are engineering AI-powered systems that produce dynamic, learner-centered educational resources. Imagine an AI-enabled "Second Brain" for disciplines such as History or Science—a sophisticated knowledge engine that generates compelling, adaptive materials on demand. This strategy distinguishes us in a competitive landscape and expands what AI can achieve in education, delivering learning experiences that are more engaging, effective, and widely accessible.
This position diverges from conventional AI engineering roles. You will not be confined to routine programming tasks or theoretical model development. You will spearhead efforts to redefine student learning by architecting and deploying AI-powered workflows that deliver genuinely personalized educational experiences. This opportunity is not suited for those seeking predictable assignments or incremental progress—it is designed for forward-thinking innovators ready to apply advanced technology to solve meaningful real-world problems.
In this role, you will architect AI-driven educational platforms capable of reshaping how learning occurs. You will employ LLMs as subject matter specialists to construct contextual knowledge modules and intelligent tutoring systems, ensuring our AI produces content that is both relevant and impactful. If the prospect of using AI to revolutionize education excites you, and you are ready to own projects that challenge conventional boundaries, we invite you to join us.
What you will be doing
- Developing Self-Improving AI Content Generation Workflows – Constructing agent-based systems that produce educational materials and autonomously refine performance through evaluation loops and continuous experimentation.
- Establishing Evaluation Frameworks & Experimentation Infrastructure – Building curated datasets (inputs → desired outputs) and scoring mechanisms to assess, benchmark, and enhance the quality of AI-generated educational content.
- Engineering Context Packs – Designing structured knowledge resources that supply domain-specific grounding, enabling systems to produce accurate, high-caliber educational content across multiple subject areas.
Key responsibilities
- Position LearnWith.AI as a leader in the EdTech space by leveraging AI tools to produce engaging, personalized educational content that sets us apart from competitors
Candidate requirements
- A minimum of 4 years of professional software engineering experience
- Demonstrated experience integrating LLMs into production software products (building chatbots or using basic coding assistants does not qualify)
- Proven track record shipping production systems where self-improving agents autonomously drove system iteration (e.g., created their own tools, optimized their own reward functions, etc.)
- Background curating evaluation or regression datasets that guide self-improving systems and establishing quantifiable success metrics
- Hands-on experience with contemporary agent-orchestration frameworks (e.g., LangChain, LangGraph)
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