Candidate should possess robust expertise in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Conversational AI, and Enterprise AI Architecture.
The ideal candidate should have hands-on experience with LLMs, RAG architectures, Agentic AI systems, NLP/NLU workflows, observability platforms, and enterprise-scale AI deployments.
Preferred candidate profile
Lead end-to-end AI/ML solution architecture and development for enterprise-scale applications.
Design and develop Conversational AI systems, virtual assistants, and intelligent Slackbots.
Build and optimize RAG pipelines and vector search systems.
Develop LLM-based solutions using prompt engineering and fine-tuning.
Implement Agentic AI systems and multi-agent workflows.
Work on AIOps use cases including anomaly detection and capacity prediction.
Collaborate with stakeholders to identify AI/ML opportunities.
Design scalable MLOps pipelines and observability systems.
Ensure AI governance, compliance, and security standards.