Front Deployed Engineer

MyOperator; Dadri; On-site; INR 800,000 - 1,100,000; Full time

Job summary

MyOperator is hiring a Front Deployed Engineer to own end-to-end delivery of AI bots for customers. You will work onsite with clients, translate business needs into bot workflows, and perform prompt engineering to ensure reliable production deployments.

The role blends solutions engineering, implementation, and prompt design with a strong bias for practical execution and measurable outcomes.

Qualifications

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Responsibilities

• 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.
• Coordinate with Product/Engineering for platform needs.
• Troubleshoot production issues and coordinate fixes/root-cause analysis.

Skills

LLMs and prompt engineering

Customer-facing delivery

Requirements gathering

APIs / Webhooks

Communication

Tools

JSON

Debugging logs

Integration troubleshooting

Job description

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, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re 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”: you’ll 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 strong 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:

• 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."

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 owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles : implementation, solutions engineering, customer success engineering, or similar.


• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).


• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.


• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.


• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots , IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.


• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.


• Prior SaaS onboarding/delivery experience in mid-market or enterprises.


• High agency: you don’t wait for perfect specs—you create clarity and ship.


• Customer empathy + engineering discipline.


• Calm under ambiguity (real customer environments are chaotic by default).