Job_Description":"

**About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Dominos, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement without fragmented tools or increased headcount

**Role Summary

Were hiring a Front Deployed Engineer (FDE) a customer-facing, field-deployed engineer who owns the **end-to-end delivery of AI bots/agents.

This role is frontline: youll work directly with customers (often onsite), translate business reality into bot workflows, do **prompt engineering + knowledge grounding , ship deployments, and iterate until it works reliably in production.

Think: **solutions engineer + implementation engineer + prompt engineer , with a solid bias for execution.

Responsibilities

**Requirement Discovery & Stakeholder Interaction

- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions. **Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.




- Assumptions, limitations, and success criteria. **Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

**Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

**What Success Looks Like

- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the AI delivery ownerclear communication, realistic timelines, crisp execution. Requirements (Must Have)
- 25 years in customer-facing delivery roles : implementation, solutions engineering, customer success engineering, or similar.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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