Senior Artificial Intelligence/Machine Learning Engineer - Generative & Agentic AI

Core Responsibilities:

• Design and deploy Generative AI and Agentic AI solutions.

• Deliver applications from concept through production.

• Execute high-impact AI initiatives.

• Review and mentor fellow engineers.

• Build multi-step agentic workflows.

• Develop Retrieval-Augmented Generation (RAG) solutions.

Strategic Responsibilities:

• Partner with business teams to solve complex problems.

• Collaborate with architects on scalable, secure solutions.

• Help define enterprise AI standards and practices.

• Contribute to knowledge graph and data pipeline strategies.

Team & Collaboration:

• Work closely with engineers, architects, and stakeholders.

• Promote engineering excellence across development and operations.

• Support continuous improvement through mentoring and knowledge sharing.

What Will Help You Be Successful in This Role?Experience & Education:

• 6+ years of software or AI/Machine Learning engineering experience.

• Proven experience delivering Generative AI or Agentic AI solutions to production.

• Experience mentoring engineers or leading projects.

• Azure AI or Data certifications are advantageous.

Tech Stack:

• Strong understanding of the end-to-end Generative AI lifecycle.

• Experience with Retrieval-Augmented Generation (RAG) and agent orchestration.

• Hands-on experience with Microsoft Azure AI services.

• Strong Python development skills.

• Experience with LangChain, LangGraph, or similar frameworks.

• Knowledge of knowledge graphs, graph databases, or Graph RAG.

• Experience with modern data platforms and pipeline technologies.

• Experience contributing to semantic design and governance for complex business domains and data landscapes.

Soft Skills:

• Strong collaboration and stakeholder management skills.

• Ability to translate business needs into technical solutions.

• Effective communication and teamwork skills.

Work Shift Timings:

• 2:00 PM - 11:00 PM IST