AI ML Engineer

Primary Responsibilities:

A Senior AI/ML and Full Stack Engineer in India acts as the bridge between raw data science and end-user production. Responsibilities include architecting AI-powered SaaS solutions, designing AI pipelines and agentic workflows, managing cloud deployments, utilizing AI for rapid development, and enforcing responsible AI governance.

1. AI Integration & Application Development
Build AI-Driven Web Applications: Develop robust frontend/backend applications that seamlessly embed large language models (LLMs) and generative AI
Agentic Workflows: Design autonomous and human-in-the-loop agents using orchestration frameworks

2. Full-Stack Architecture
End-to-End System Design: Architect scalable microservices and APIs, integrating frontend frameworks (React, Next.js) with backend engines (Python/FastAPI or Node.js).Enterprise Integrations: Connect AI interfaces with large-scale relational/NoSQL databases and core business systems.

3. Technical Leadership & Productivity
AI-Assisted Development: Lead the adoption of AI-native tooling across the development lifecycle, utilizing code-generation copilots to rapidly build features while maintaining strict quality assurance.
Mentorship: Provide architectural judgment, mentor junior developers, and review code to ensure security and compliance