Company: Vidpro

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B2C

Funding Stage: Series B

Industry: Information Technology

Salary Range: ₹ 50-70 Lacs PA

Job Description

Senior ML Engineer – Generative AI

We are hiring for a high-impact, AI-native education infrastructure organization that operates across government (B2G) and enterprise (B2B) sectors. Their platforms power intelligent learning systems, adaptive digital classrooms, and AI-driven governance tools reaching over 150 million children across India.

This role is part of a 0-to-1 vertical build, offering a high degree of ownership, rapid iteration, and direct contribution to a mission-driven, population-scale AI infrastructure.

Key Responsibilities

Build Production LLM Systems: Design, build, and deploy production-grade LLM applications, including Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and tool-calling systems tailored for education use cases (e.g., adaptive feedback, automated Q&A;, and curriculum alignment).




End-to-End System Architecture: Own full backend and AI service architectures—from data pipelines and retrieval layers to orchestration APIs and deployment infrastructure—using clean, maintainable, and tested production code.
LLM Evaluation & Monitoring: Build rigorous evaluation harnesses, task-specific benchmarks, automated regression tests, and human-in-the-loop validation frameworks to guard quality before release.
Latency & Cost Optimization: Implement caching, request batching, prompt-context optimization, and model routing to ensure quick, scalable, and cost-effective production deployment.
Data & Model Integration: Build grounding and instruction data pipelines for multilingual and regional contexts. Evaluate and integrate open-source, closed, and sovereign LLMs into production serving frameworks.

Key Qualifications

Production Engineering: Strong Python software engineering skills with exp

📌 Senior Machine Learning Engineer (Noida)
🏢 Sourcingxpress
📍 Noida