Added
17 days ago
Type
Contract
Salary
Salary not provided

Related skills

aws python ai rag langchain
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πŸ“‹ Description

  • Own the core AI capabilities powering the teaching companion, including retrieval, generation
  • Design and optimize retrieval experiences that help educators quickly discover relevant videos
  • Build and maintain content and data pipelines that ingest, structure, enrich, and organize
  • Develop and refine retrieval-augmented generation (RAG) systems, including semantic search
  • Work across the full technology stack to integrate AI capabilities seamlessly with backend services
  • Shape the assistant's behavior, responses, personality, guidance, and overall user experience based

🎯 Requirements

  • 5+ years of professional software engineering experience, with strong full-stack capabilities and
  • Proven hands-on experience building and shipping at least one production LLM or AI-powered
  • Strong experience developing RAG systems, including embeddings, vector databases, semantic search
  • Demonstrated ability to build AI-native workflows using modern AI-assisted development tools such
  • Strong Python skills and solid backend engineering fundamentals, including APIs, databases, data
  • Sufficient frontend expertise to contribute effectively across the full stack and integrate AI into

🎁 Benefits

  • Competitive, market-aligned salary for an experienced engineer based in India.
  • Fully remote, full-time opportunity with flexibility in how you structure your working day.
  • End-to-end ownership of AI capabilities behind a compact product, from launch through future scale.
  • Significant influence over AI architecture, technical direction, product evolution, and roadmap
  • Hands on with modern LLMs, RAG, AI orchestration, cloud infrastructure, and AI-assisted development.
  • Exposure to the intersection of education, media, technology, and artificial intelligence.
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