AI Engineer, Internship – Intelligent Question Bank Platform

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Collaborate closely with the founder to create and develop an AI-driven content generation system from scratch.

• Play a significant role in the product lifecycle, from how the system acquires and comprehends source material, to how it generates and validates outputs, and how instructors engage with and review the generated content.

• Construct and refine LLM-driven pipelines.

• Utilize retrieval and embedding techniques to anchor outputs in authentic source materials.

• Create backend services and APIs that integrate all components.

• Focus on output quality by establishing evaluation processes, identifying failure modes, and enhancing the system based on genuine instructor feedback.

• Investigate emerging tools and techniques as the AI landscape evolves and incorporate relevant concepts directly into the product.

• This role is generalist in nature at an early-stage product, requiring you to take on various responsibilities, navigate ambiguities, and provide direct input on the construction of the system.

⛳️ Requirements

• Solid foundation in software engineering principles, including data structures, APIs, and system design.

• Proficiency in Python, which serves as the primary language for AI/ML pipeline development.

• Experience with REST APIs and familiarity with at least one database, preferably PostgreSQL.

• Ability to work autonomously, pose insightful questions, and iterate quickly.

• Strong debugging abilities and problem-solving skills.

• Evidence of side projects or deployed code (GitHub portfolio required).

• A genuine interest in AI systems and educational technology.

• Direct experience with LLM APIs such as OpenAI, Anthropic Claude, or Google Gemini.

• Practical experience with RAG systems, including embedding models and vector databases like Pinecone, Weaviate, pgvector, or Chroma.

• Familiarity with prompt engineering techniques, including few-shot prompting, chain-of-thought, and structured JSON outputs.

• Experience with NLP pipelines encompassing text chunking, tokenization, and semantic search.

• Knowledge of LaTeX syntax and math rendering libraries such as MathJax or KaTeX.

• Experience with image generation APIs or programmatic SVG generation.

• Familiarity with AI evaluation frameworks or automated testing harnesses for LLM outputs.

• Experience with cloud platforms such as AWS, GCP, or Vercel for deployment.

• Familiarity with job queues like Celery, Bull, or similar tools.

• Exposure to educational content standards or psychometrics is a plus.

🏝️ Benefits

• Competitive salary and equity options.

• Flexible work hours and the possibility of remote work.

• Opportunity to work at the forefront of AI and educational technology.

• A collaborative and innovative work environment.

• Professional development opportunities and support for continuous learning.