KEY RESPONSIBILITIES
- Build the agent architecture: specialist agents for explanation, memorization, and practice behind a single companion persona
- Build the routing layer that knows the student's context and calls the right specialist at the right time
- Build RAG over NCERT and curriculum content, tied to the concept hierarchy
- Make the companion teach well in Hinglish — tone, empathy, and code-switching that sounds like a real teacher
- Own evaluation: is the explanation correct, is it pitched right, did the student actually learn — automated and human-in-the-loop
- Implement mastery scoring and the logic that decides what a student sees next
- Own guardrails and safety for a student-facing AI, and keep latency and cost in check at scale

REQUIRED SKILLS
- 5+ years in applied ML or NLP
- Robust Python (PyTorch / TensorFlow / scikit-learn)
- Hands-on with LLMs: prompt engineering, RAG, embeddings, vector stores
- Built multi-agent or tool-using systems in production, not just demos
- Ability to design an eval suite,



not just run one
- Cloud ML infrastructure (GCP Vertex AI preferred; SageMaker / Azure ML also fine)
- Experience taking ML systems from prototype to production

NICE TO HAVE
- Education or tutoring products — knowledge tracing, mastery models, spaced repetition
- Indian language NLP and Hinglish code-switching
- Production experience with Gemini / Claude / GPT-class models
- Speech and voice AI (Whisper, Deepgram, TTS)
- Serving LLMs cheaply at scale — caching, routing, smaller models where they suffice

HOW WE WORK
- Small teams with real ownership — you shape how your area works, rather than inheriting a process
- We ship fast, measure honestly, and cut what isn't working instead of defending it
- Research and data sit next to product here; opinions lose to evidence
- AI tooling is part of the workflow for everyone, not just the engineers

📌 Senior AI Engineer (Noida)
🏢 Infinity Learn
📍 Noida