- Solid Python with PyTorch/TensorFlow/scikit-learn
- Hands-on experience with LLMs, Prompt Engineering
- RAG, Embeddings, Vector Databases
- LangChain/LangGraph or Multi-Agent AI systems
- Model evaluation and benchmarking
- Production deployment of ML/LLM applications
- Cloud ML experience (GCP Vertex AI preferred, AWS SageMaker/Azure ML acceptable)
Key Responsibilities
- Build and maintain AI companion using specialist agents (Explanation, Practice, Memorization)
- Develop multi-agent architecture and intelligent routing
- Build RAG pipelines over NCERT/curriculum content
- Improve AI teaching quality, reasoning, and personalization
- Implement evaluation frameworks, mastery scoring, and recommendation logic
- Ensure AI safety, guardrails, low latency, and cost optimization
Preferred Skills
- EdTech or tutoring products
- Knowledge tracing, mastery models, spaced repetition
- Indian language/Hinglish NLP
- Gemini, Claude, GPT models
- Speech AI (Whisper, Deepgram, TTS)
- Experience optimizing LLM inference at scale