AI Engineer (Internship) Intelligent Question Bank Platform

You will architect and implement the core AI pipeline that powers Accels test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. Youll 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 youll 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 youll be expected to think about output quality and building evaluation steps catching failure modes and improving the system based on real instructor feedback. Youll 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 youll wear multiple hats work with ambiguity and have direct input into how things are built.

Qualifications :

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
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 is a bonus

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Intern