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Mid-level generalist AI title, Bangalore location, and 1–5 year range increase qualified applicant density.
Core LLM and production ML skills transfer across industries, though education domain knowledge adds moderate bias.
Explicit years plus mandatory OpenAI/LangChain, production, and pedigree signals make filters strict.
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Build and ship core AI workflows for tutoring app including agentic tutoring systems, answer evaluation, personalization, and multimodal pipelines.
Turn prototype AI features into robust, scalable, production-grade systems with focus on latency, cost, observability, reliability, and safety.
Own features end-to-end from product requirements through implementation, deployment, monitoring, and iteration while collaborating with product, design, and education teams.
1 to 5 years of experience with strong Python fundamentals and practical backend engineering (API development, debugging).
Experience with FastAPI or Flask frameworks and Docker deployment workflows.
Hands-on experience with at least one LLM related framework or SDK such as OpenAI SDK, LangChain, or Haystack.
Must be onsite in Bangalore; CS background preferred or equivalent demonstrated capability, including strong signals from top Indian engineering programs or equivalent track record.
Comfortable owning full production lifecycle of AI features including monitoring, evaluation, and iteration under ambiguous contexts.
Has practical experience building real AI systems beyond research, including internships, substantial projects, or open-source contributions.
Prefers working in a dynamic startup environment with small, high-trust teams focused on product impact rather than narrow task execution or research-only roles.
