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
The EdTech industry confronts a significant obstacle: creating learning content that engages students while accommodating their individual requirements. The market is saturated with one-size-fits-all learning platforms that lack effectiveness, making differentiation increasingly difficult. Evidence shows that educational resources which fail to resonate with learners or adjust to their distinct learning preferences result in dramatic declines in engagement, leaving a void in meaningful educational experiences. This burden falls heavily on teachers, who must deliver personalized, high-caliber instruction while operating under severe time and resource limitations.
LearnWith.AI is addressing this challenge directly through the strategic application of AI to transform content development. Our mission extends beyond simply creating AI tools—we are engineering AI-powered platforms that produce dynamic, learner-tailored educational materials. Envision an AI-enabled "Second Brain" for disciplines such as Science or History—a sophisticated knowledge system that can generate compelling, responsive content on demand. This forward-thinking methodology distinguishes us in an oversaturated marketplace and expands what AI can accomplish in education, delivering learning that is more accessible, impactful, and engaging.
This role differs fundamentally from conventional AI engineering positions. You won't be confined to programming tasks or developing theoretical AI architectures. Rather, you'll spearhead efforts to reimagine student learning by architecting and deploying AI-enabled workflows that deliver genuinely personalized educational journeys. This opportunity isn't suited for those who favor routine assignments or incremental optimization—it's designed for forward-thinking engineers ready to leverage advanced technology for tangible educational transformation.
As an integral part of our engineering team, you'll architect AI-powered educational systems with the capacity to reshape the learning environment. You'll utilize LLMs as specialized domain authorities to construct contextual knowledge frameworks and intelligent tutoring systems, guaranteeing that our AI produces content that is substantive and effective. If the prospect of applying AI to revolutionize education excites you, and you're prepared to own projects that challenge conventional limits, we want to connect with you.
What you will be doing
- Developing Self-Optimizing AI Content Creation Systems – Agent-based architectures that produce educational materials and continuously enhance performance through evaluation cycles and systematic experimentation.
- Constructing Evaluation Datasets & Testing Frameworks – Purpose-built datasets (inputs → anticipated outputs) and assessment mechanisms employed to quantify, benchmark, and refine AI-generated content effectiveness.
- Engineering Context Packs – Organized knowledge structures that deliver domain-specific grounding and empower systems to produce precise, superior educational content spanning multiple subjects.
Key responsibilities
- Enable LearnWith.AI to distinguish itself in the competitive landscape by producing compelling and individualized educational content through AI-powered solutions
Candidate requirements
- A minimum of 4 years of professional software engineering experience
- Demonstrated experience integrating LLMs into production software products (building basic chatbots or utilizing simple coding assistants does not qualify)
- Track record of deploying production systems featuring self-improving agents that drove system iteration autonomously (e.g., created their own tools, optimized their own reward functions, etc.)
- Proven experience developing 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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