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Metro location, popular AI title, 1–5 year mid-range, and strong founder brand increase applicant competition.
AI production and LLM framework skills transfer across industries, but education domain experience moderately preferred.
Explicit 1–5 years, mandatory LLM frameworks, Python, FastAPI/Docker, plus pedigree requirement raises filter strictness.
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Build, ship, and maintain core AI workflows powering an AI tutoring product including agentic tutoring flows, answer evaluation, retrieval, personalization, and multimodal pipelines.
Turn prototypes into robust, production-grade, scalable, observable systems with focus on latency, cost optimization, reliability, safety, and monitoring.
Own features end-to-end from requirements to deployment and collaborate cross-functionally to translate learning goals into AI behavior.
1 to 5 years strong Python programming experience with clean and practical code skills.
Experience building services/APIs with FastAPI or Flask and debugging production issues.
Hands-on familiarity with OpenAI SDK or similar LLM frameworks such as LangChain or Haystack and understanding of prompting, tools, retrieval, agents, and evals.
Must work onsite in Bangalore; CS background preferred or demonstrated equivalent capability; strong signals from top engineering programs or equivalent track record.
Someone comfortable with end-to-end production engineering including monitoring, reliability, cost management, and iterative quality improvements.
Ability to navigate ambiguity, take ownership, and move fast without sacrificing engineering quality.
Experience or strong interest in building real AI products that impact learning at scale rather than narrow or research-only tasks.
