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 fast, 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: Solid Python software engineering skills

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