Back
Mid-level GenAI ML role in metro with broad skillset and popular title increases candidate competition.
Specialized GenAI, agentic workflows, and production ML engineering require domain-specific experience.
Explicit 6+ years plus mandatory GenAI, Azure, LangChain, and RAG experience raises strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy production-grade Generative AI and Agentic AI solutions, including multi-step agentic workflows.
Lead high-impact AI initiatives and collaborate with enterprise architects to create scalable and secure AI architectures.
Partner with business teams to solve complex problems and define enterprise AI standards and best practices.
6+ years of software or AI/Machine Learning engineering experience.
Proven experience delivering Generative AI or Agentic AI solutions to production environments.
Strong Python development skills and hands-on experience with Microsoft Azure AI services.
Work Shift Timings: 2:00 PM -11:00 PM IST.
Experienced in end-to-end Generative AI lifecycle with knowledge of Retrieval-Augmented Generation and agent orchestration.
Able to mentor engineers and lead projects, promoting engineering excellence and continuous improvement.
Experienced working in collaborative environments with multiple stakeholders, capable of translating business needs into technical solutions.