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 an AI Solutions Delivery Engineer — a post-sale, customer-facing role that owns the end-to-end delivery of AI bots and agents.
This is a frontline execution role, not a sales or quota-based position. You will work directly with customers (often onsite), translate real business requirements into AI-driven workflows, perform prompt engineering and knowledge grounding, deploy solutions to production, and iterate until they work reliably at scale.
Think of this role as a combination of:
Solutions Engineer + Implementation Engineer + Prompt Engineer, with a strong bias for execution and ownership.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams (post-sale).
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify required data sources such as CRM systems, APIs, Excel files, SharePoint, or internal tools.
- Act as the AI subject-matter expert during customer discussions.
Use Case & Solution Documentation
- Convert customer discussions into clear, structured use-case documents covering:
- Problem statement and goals
- Current vs. proposed conversational flows
- Chatbot conversation logic, integrations, and dependencies
- Assumptions, limitations, and success criteria
Customer Delivery Ownership
- Own end-to-end deployment of AI bots for customer use cases (lead qualification, customer support, bookings, etc.).
- Run workshops to capture business processes, FAQs, edge cases, and success metrics.
- Drive the go-live process from requirements through deployment, monitoring, and continuous improvement.
Prompt Engineering & Conversation Design
- Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable and compliant bot behavior.
- Design structured conversational flows including intents, entities, routing, handoffs, and human escalation.
- Build reusable prompt patterns and internal prompt packs.
Testing, Debugging & Iteration
- Analyze conversation logs and transcripts to identify failure modes (misclassification, hallucinations, poor handling).
- Create test datasets (golden conversations), run regressions, and measure improvements.
- Collaborate with Product and Engineering teams to address platform gaps and improvements.
Integrations & Technical Coordination
- Integrate bots with APIs and webhooks (CRM, ticketing systems, internal tools) to complete workflows.
- Troubleshoot production issues and support root-cause analysis with engineering teams.
What Success Looks Like
- Customer bots go live quickly with high containment and task completion, and low escalation.
- You can diagnose failures from logs and transcripts and fix them through prompt, workflow, or knowledge changes.
- Customers trust you as the AI delivery owner — clear communication, realistic timelines, and reliable execution.
Requirements (Must Have)
- 2–5 years of experience in customer-facing delivery roles such as implementation, solutions engineering, or customer success engineering.
- Hands-on experience with LLMs and prompt engineering (structured outputs, guardrails, tool usage, iteration).
- Strong communication skills for workshops, requirement capture, documentation, and stakeholder management.
- Technical fluency with APIs/webhooks, JSON, debugging logs, and basic integration troubleshooting.
- Willingness to be customer-facing and occasionally front-deployed (calls/visits as required).
Good to Have (Nice to Have)
- Experience with chatbots, voice bots, IVR, WhatsApp automation, or conversational AI platforms.
- Understanding of metrics like containment, resolution rate, response latency, and CSAT drivers.
- Prior SaaS onboarding or delivery experience with mid-market or enterprise customers.
Working Style & Traits We Value
- High agency — you don't wait for perfect specs; you create clarity and ship.
- Strong customer empathy paired with engineering discipline.
- Bias for iteration: deploy → learn → improve.
- Calm and effective in ambiguous, real-world customer environments.
