AI Engineer

Our work integrates approved instructional materials (HQIM), instructional practice frameworks, and district-specific resources to create a data-informed, state-aligned support ecosystem.

Job Description
We are seeking an AI Engineer with strong experience in applied machine learning and large language model (LLM) development to build the next generation of Tutor CoPilot—an AI assistant that supports tutors during live sessions and generates post-session insights for teachers and parents.

This role will work closely with our CTO, research partners, and instructional design teams to architect, train, evaluate, and deploy AI systems that:
- Improve real-time instructional decision-making
- Align approved materials in various libraries/catalogues, and district curriculum maps
- Generate student, classroom, and system-level insights
- Support parent engagement and educator evaluation processes statewide

• - Creativity and problem-solving are critical: feature requests may be high-level, and you will be responsible for translating business and instructional needs into scalable AI features.
• 
  Essential Duties and Responsibilities
• 
  AI Model Development & Integration
  - Design, train, fine-tune, and evaluate LLM-based systems that assist tutors during live
  sessions.
  - Build models to synthesize tutoring session transcripts and extract insights.
  - Architect pipelines mapping AI outputs to state-provided instructional materials.
  
  Data Engineering & Infrastructure
  - Develop data ingestion pipelines for libraries and district resources.
  - Implement evaluation frameworks for student-level challenges and tutor-identified needs.
  
  Product & Feature Development
  - Own end-to-end implementation of Tutor CoPilot features.
  - Build real-time AI hint/explanation engines for tutors.
  
  Cross-Functional Collaboration
  - Work with instructional experts to ensure outputs align with teaching practices.
  - Collaborate with research partners.
  - Support implementation and coherence frameworks.
• 
  Qualifications
  Required
  - 4+ years ML or applied AI engineering experience
  - Experience with large language models
  - Expertise with Python ML ecosystems
  - Experience building production AI systems
  - Excellent communication skills
  
  Preferred
  - NLP experience in education
  - Familiarity with HQIM or K–12 systems
  - Rails experience or willingness to learn
  - Background in tutoring, teaching, or edtech
  
  Nice to Have
  - Experience integrating existing frameworks into another
  - Work with transcript/audio analysis
  - Understanding of responsible AI and FERPA