Accel Learning
Education
AIEngineer(Internship)-IntelligentQuestionBankPlatform
Neural analysis suggests this role is
optimal for internship candidates.
“AI Engineer (Internship) - Intelligent Question Bank Platform at Accel Learning. Skills: AI pipeline, LLM, RAG systems, Content generation. Design AI-powered content generation system. Build AI-powered content generation system”
Industry & Context.
Debugging; Problem-solving instincts; Catch failure modes; Improve system based on feedback
What They're Looking For.
Must Have
Foundation in software engineering, Proficiency in Python, Experience with REST APIs, Experience with at least one database, Ability to work independently, Debugging and problem-solving instincts, Demonstrated side projects, Genuine interest in AI systems, Direct experience with LLM APIs, Hands-on experience with RAG systems, Familiarity with prompt engineering techniques, Experience with NLP pipelines, Knowledge of LaTeX syntax, Experience with image generation APIs, Familiarity with AI evaluation frameworks, Cloud platform experience, Experience with job queues
Nice to Have
PostgreSQL preferred, Pinecone, Weaviate, pgvector, Chroma, MathJax, KaTeX, SVG programmatic generation, AWS, GCP, or Vercel, Celery, Bull, or similar, Exposure to educational content standards, Psychometrics is a bonus
What You'll Do.
Design AI-powered content generation system
Build AI-powered content generation system
Ingest and understand source material
Produce and validate outputs
Build LLM-driven pipelines
Develop backend services
Think about output quality
Build evaluation steps
Improve system based on feedback
Research new tools and techniques
Bring relevant ideas into product
How You'll Work.
Team & Collaboration
Work closely with founder
Full Job Description
Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K–12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more. Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale. You will architect and implement the core AI pipeline that powers Accel's test creation system. • Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates. • On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together. • Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product. • This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built. PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION: 1. This is an unpaid internship opportunity. Are you still interested in the role? 2. What interests you most about this internship and this role? (Please share what excites you about contributing and what
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