AI Engineer
Build and operate the agentic systems powering an AI tutoring product, including learner modeling, long-horizon planning, tool use, verification, and evaluation. The role requires 3+ years of software engineering experience, production LLM experience, and strong Python or TypeScript/Node skills.
About the job
Responsibilities
- Design and build the agentic core, including multi-step tutoring loops, tool use, memory, and long-horizon planning.
- Build the evolving, evidence-backed learner model and systems that read and write it.
- Create evaluation harnesses for conversational and teaching quality; define and measure learning outcomes.
- Design guardrails and verification layers for generated content and tutor claims.
- Collaborate with the founding team on AI tutor product questions and measurable outcomes.
- Own systems end to end, including design, implementation, evaluation, and iteration against learner data.
Requirements
- 3+ years of software engineering experience.
- Hands-on experience building with LLM APIs and agentic workflows in production.
- Experience with tool use, structured output, long-context systems, memory patterns, and LLM evaluation.
- Strong Python and/or TypeScript/Node engineering skills.
- Ability to turn ambiguous product questions into measurable systems and ship independently.
Nice to have
- Experience with conversational AI, tutoring systems, or long-running assistant relationships.
- Background in recommendation, personalization, or user-modeling systems.
- Familiarity with education or learning science.
- Experience with voice interfaces or real-time interaction.
Compensation and benefits
- Compensation details were not provided.
Skills
Python, TypeScript, Node.js, LLM APIs, Agentic Workflows, Structured Output, Long Context, Memory Systems, Evaluation Harnesses, Recommendation Systems, Personalization, Voice Interfaces
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