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.