- Location
- Pune, MH,IN, IN
- Type
- Full-time
- Department
- Operations
- Source
- Eightfold
Description
Document customer interactions accurately, track recurring issues, and provide structured feedback to enhance customer service processes. Analyze extensive datasets to recognize trends, identify root causes, and recommend corrective actions. Apply strong process-oriented thinking to propose system, workflow, or policy optimizations. Monitor recurring patterns and highlight significant metrics influencing quality performance. Identify manual processes and convert them into automation or AI-assisted workflows. Build and support Agentic AI workflows that can plan tasks, use tools, analyze data, validate outputs, and generate reports. Develop AI workflows that can research information, analyze findings, summarize insights, and deliver business-ready reports end-to-end. Validate AI-generated outputs to ensure accuracy, relevance, and business readiness. Thorough understanding of call and chat quality audit methodologies. Hands-on experience using ChatGPT, Microsoft Copilot, Power Automate, and AI-enabled productivity tools. Practical experience building or supporting Agentic AI solutions. Familiarity with Agentic AI frameworks such as LangChain agents, AutoGPT, CrewAI, OpenAI function/tool calling, and multi-agent systems. Strong understanding of data validation, pattern detection, exception handling, and workflow automation. Willingness to learn new technologies and adapt quickly is required. Background in customer service, operations, or quality assurance. Experience with KPI tracking, dashboard creation, and reporting automation. Well-organized and detail-oriented, with excellent follow-up skills; ability to meet/prioritize high-pressure delivery deadlines, ability to work well in a quickly changing work environment focusing on customers. Demonstrated success working in fast-paced, dynamic environments with a strong customer centric‑ mindset. Built an AI agent or workflow that can research, analyze, and deliver a report end-to-end. Created an Agentic AI workflow that pulls data from multiple sources, analyzes KPIs, detects anomalies, and generates summary reports. Built AI-assisted automation for report validation, data quality checks, exception flagging, or operational insights. Designed workflows where AI can plan tasks, use tools/APIs, execute steps, validate results, and summarize outputs. Used frameworks such as LangChain agents, AutoGPT, CrewAI, OpenAI function/tool calling, or multi-agent systems to build AI-driven workflows. Used ChatGPT, Copilot, or Power Automate to automate repetitive reporting or analysis tasks. Applied AI to improve process efficiency, reduce manual effort, and support faster decision-making.
