Data/ETL Engineer

About the Role' Agentic AI – Customer Success / Enablement 'Job Title' Agentic AI Customer Success / Enablement Specialist 'Responsibilities' - Act as a technical enabler for customers adopting Agentic AI, supporting use cases such as agent design, fine-tuning, debugging, and troubleshooting. - Serve as the first point of contact for engineering teams using the internal Agentic AI platform. - Help clients and internal teams understand, design, fine-tune, and build AI agents aligned to business and engineering workflows. - Drive adoption and successful implementation of Agentic AI solutions across customer teams. - Provide hands-on support for issue triage, root cause analysis, and escalation when required. - Collaborate closely with product, platform, and engineering teams to relay customer feedback and improve platform usability. - Support architecture reviews, design discussions, and agent discovery conversations. - Contribute to enablement activities including demos, documentation, best practices, and training materials. 'Required Skills' - Strong technical background with prior experience in software engineering, DevOps, QA, or platform engineering. - 2–4 years of experience in Customer Success, Technical Account Management, or a similar customer-facing role. - Solid understanding of software development life cycle (SDLC) and DevOps workflows and engineering best practices. - Foundational knowledge of AI/ML concepts, with a strong interest or hands-on exposure to Agentic AI systems. - Ability to bridge the gap between engineering teams and customers, translating technical concepts into practical guidance. - Comfortable troubleshooting complex systems and working in fast-paced, evolving environments. 'Desirable Skills' - Experience in AI/ML fundamentals. - Familiarity with Agentic AI systems. 'Education Qualification' - Bachelor's degree in Computer Science, Engineering, or a related field. Skills: Devops, Qa, Software Engineering Experience: 2.00-4.00 Years