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MyOperator - VoiceTree Technologies logo
AI Prompt & Delivery Engineer
MyOperator - VoiceTree Technologies's logo

AI Prompt & Delivery Engineer

Vijay Muthu's profile picture
Posted by Vijay Muthu
2 - 5 yrs
₹8L - ₹10L / yr
Noida
Skills
Prompt engineering
Large Language Models (LLM) tuning
Generative AI
Artificial Intelligence (AI)
Customer Success
AI Agents
Debugging

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & 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 Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement


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:
  • 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 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.

Working Style & Traits We Value

  • High agency: you don’t wait for perfect specs—you create clarity and ship.
  • Customer empathy + engineering discipline.
  • Strong bias for iteration: deploy → learn → improve.
  • Calm under ambiguity (real customer environments are chaotic by default).


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About MyOperator - VoiceTree Technologies

Founded :
2013
Type :
Product
Size :
100-500
Stage :
Bootstrapped

About

MyOperator is a Business AI Operator and 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.



Read more

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skill iconExpress
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About the Company LEAF is safety technology company started from February 2015 with the mission to solve the problem of human safety by disrupting the largely unorganized security market. LEAF launched their first product Safer, a smart safety wearable in 2015 to solve the problem of women safety which was sold in more than 25 countries. LEAF was a part of Prime Minister Modi's delegation to silicon valley as the Top 10 Innovators of India. With first Indian company to win prestigious Million Dollar X Prize Award at United Nations, Leaf is on the mission to make Billion people safe. Skillset: Node.js, PostGIS, and experience with AWS PostgreSQL and MongoDB Loopback framework Self-driven, and passionate to make an impact in the world What kind of person we are looking Experience integration of data storage solutions like MongoDB and nosql cloud data store. Work as part of a team developing applications and services using Agile development methods Writing reusable, testable, and efficient code Code, test and operate node.js based services Design and implementation of low-latency, high-availability, and performant applications Strong knowledge of Node.js and frameworks like Loopback. Good understanding of server-side templating languages such as Jade, EJS. Strong understanding of front-end technologies such as Angular JS, HTML5 and CSS. Deployed and managed critical applications using a number of AWS services like (not limited to) S3, EC2, Route 53, Lambda etc. User authentication and authorization between multiple systems, servers, and environments Understanding of fundamental design principles behind scalable applications Creating database schemas that represent and support business processes Integration of multiple data sources and databases into one system Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform Proficient understanding of code versioning tools, such as Gitlab, Github, Bitbucket etc. Location: GK-1, New Delhi Salary- To be discussed directly post interview. Contact: Avinash Bansal, Director (+91-8447206702)
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Shubham Vishwakarma

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