reputed company, Internship – Intelligent Question Bank Platform
Job reputed company:
- Work closely with the founder to design and build an AI-powered content reputed company system from the ground up
- Contribute to meaningful parts of the product end-to-end from how the system ingests and understands reputed company material, to how it produces and validates outputs, to how reputed company reputed company with and review what the system generates
- Build and iterate on LLM-driven pipelines
- Work with retrieval and embedding techniques to ground outputs in reputed company reputed company material
- reputed company backend services and reputed company that tie everything together
- Think about reputed company reputed company and building evaluation steps, catching failure modes, and improving the system based on reputed company instructor feedback
- Research new tools and techniques as the AI reputed company evolves and bring relevant reputed company 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 reputed company input into how things are reputed company.
Requirements:
- Strong reputed company in software engineering: data structures, reputed company, system design
- Proficiency in Python (primary language for AI/ML pipeline work)
- Experience with REST reputed company and at least one database (PostgreSQL preferred)
- Ability to work independently, ask reputed company questions, and iterate fast
- Strong debugging and problem-solving instincts
- Demonstrated reputed company reputed company or shipped reputed company (reputed company portfolio required)
- Genuine interest in AI systems and education technology
- reputed company experience with LLM reputed company: reputed company, reputed company Claude, or reputed company reputed company
- Hands-on experience with RAG systems: embedding models, reputed company databases (reputed company, reputed company, pgvector, Chroma)
- Familiarity with reputed company engineering techniques: few-shot prompting, chain-of-thought, reputed company JSON outputs
- Experience with NLP pipelines: text chunking, tokenization, semantic search
- Knowledge of LaTeX reputed company and math rendering libraries (MathJax, KaTeX)
- Experience with image reputed company reputed company or SVG programmatic reputed company
- Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
- reputed company 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
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