AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning • Secaucus, NJ

5d

About The Position

Accel Learning is seeking an AI Engineer Intern to architect and implement the core AI pipeline for their intelligent question bank platform. This role involves working closely with the founder to design and build an AI-powered content generation system from the ground up. Responsibilities include ingesting and understanding source material, producing and validating outputs, and developing backend services and APIs. The intern will also focus on output quality, evaluation steps, catching failure modes, and researching new AI tools and techniques. This is a generalist role at an early-stage product requiring adaptability and direct input into development.

Requirements

• Strong foundation in software engineering: data structures, APIs, system design.
• Proficiency in Python (primary language for AI/ML pipeline work).
• Experience with REST APIs and at least one database (PostgreSQL preferred).
• Ability to work independently, ask sharp questions, and iterate fast.
• Strong debugging and problem-solving instincts.
• Demonstrated side projects or shipped code (GitHub portfolio required).
• Genuine interest in AI systems and education technology.
• Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini.
• Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, Weaviate, pgvector, Chroma).
• Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, structured JSON outputs.
• Experience with NLP pipelines: text chunking, tokenization, semantic search.

Nice To Haves

• Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX).
• Experience with image generation APIs or SVG programmatic generation.
• Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs.
• Cloud platform experience: AWS, GCP, or Vercel for deployment.
• Experience with job queues: Celery, Bull, or similar.
• Exposure to educational content standards or psychometrics.

Responsibilities

• Design and build an AI-powered content generation system from the ground up.
• Ingest and understand source material.
• Produce and validate AI-generated outputs.
• Develop backend services and APIs to connect system components.
• Implement LLM-driven pipelines.
• Work with retrieval and embedding techniques to ground outputs in real source material.
• Think about output quality and build evaluation steps.
• Catch failure modes and improve the system based on instructor feedback.
• Research new tools and techniques in the AI space and integrate relevant ideas into the product.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed