JOB DETAILS
Requirements
- At least 5 years of industry experience in product-focused full-stack or backend engineering.
- Proficiency with React, TypeScript, Python, and GraphQL.
- Hands-on experience building and deploying large-language-model-powered applications in production.
- Familiarity with retrieval-augmented generation, prompt engineering, evaluation frameworks, and LLMOps best practices.
- Product intuition and user empathy, particularly in educational contexts.
- Ability to collaborate cross-functionally with pedagogy, design, and engineering teams.
Responsibilities
- Design and build AI-powered learning experiences integrating large language models into student- and teacher-facing applications.
- Prototype, test, and deploy LLM-based features including math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
- Work across the stack using React, TypeScript, Python, and GraphQL.
- Experiment with prompting, retrieval-augmented generation, vector search, and fine-tuning strategies to optimize student learning outcomes.
- Collaborate with curriculum and pedagogy teams to ensure AI experiences are pedagogically sound and aligned with educational values.
- Contribute to AI infrastructure and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
- Design safeguards for appropriate use of large language models in educational contexts.
Desired Qualifications
- A desire to move quickly, learn continuously, and build products for students and teachers.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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