
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).

About MyOperator - VoiceTree Technologies
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.
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SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
Job Responsibilities
- Help develop an analytics platform that integrates insights from diverse data sources.
- Build, deploy, and test machine learning and classification models
- Train and retrain systems when necessary
- Design experiments, train and track performance of machine learning and AI models that meet specific business requirements
- ML and data labelling: Identify ways to gather and build training data with automated data labelling techniques and the creation of highly accurate training datasets.
- Automatic extraction of causal knowledge from diverse information sources such as databases, news, social media, videos and images etc.
- Develop customized machine learning solutions including data querying and knowledge extraction.
- Develop and implement approaches for extracting patterns and correlations from both internal and external data sources using time series machine learning models.
- Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
- Distil insights from complex data, communicating findings to technical and non-technical audiences.
- Develop, improve, or expand in-house computational pipelines, algorithms, models, and services used in crop product development.
- Constantly document and communicate results of research on data mining, analysis, and modelling approaches.
- 5+ years of experience working with NLP and ML technologies.
- Proven experience as a Machine Learning Engineer or similar role.
- Experience with NLP/ML frameworks and libraries
- Proficient with Python scripting language
- Background in machine learning frameworks like TensorFlow, PyTorch, Scikit Learn, etc.
- Demonstrated experience developing and executing machine learning, deep learning, data mining and classification models. Conversant with the latest in NLP and NLU models including transformer architectures and in creating explainable AI
- Ability to communicate the advantages and disadvantages of choosing specific models to various stakeholders
- Proficient with relational databases and SQL. Ability to write efficient queries and optimize the storage and retrieval of data within the database. Experience with creating and working on APIs, Serverless architectures and Containers.
- Creative, innovative, and strategic thinking; willingness to be bold and take risks on new ideas.
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Mandatory Skills: AI : Artificial Intelligence .
Experience: 8-10 Years .
Job Description
Education : Graduation in Computer Science
Job Description :
Around 3 years of professional experience in Oracle Applications 11i / R12 as Technical Consultant.
Expertise in developing the reports using Report Builder , Discoverer and XML Publisher. Having Technical knowledge in various modules like OM , FA , GL , AP , PO , INV , AR , CM and AOL.
Oracle Database Upgrade 9i to 11g.
Database Patching , Space Management Purging Archiving , Connectivity Issue Tablespace Creation , Modification , Deletion , Troubleshooting Concurrent Manager , Monitoring Application Performance
Excellent Knowledge in Oracle (SQL , PL / SQL , Reports 10g).
Good exposure with SQL Loader.
Good Knowledge on Technical architecture and functional flow of Oracle Applications modules such as Account Payable , Account Receivables , Purchasing , General Ledger , Fixed Assets , Inventory and Order Management.
Having good experience in designing and preparation of documents likeMD70 , MD120 and TE20 as a part of Object Deliverables.
Worked on Inbound Interfaces for e.g. (AP Invoice , GL Interface , AR Invoice etc.).
Experience in designing and development of Conversion Programs to load data from Legacy system to Oracle Applications with effective validation logic and Error handling mechanism (Supplier Conversion , Item Conversion).
🏥 Now Hiring: AI Agent Developer (Healthcare – No-Code Automation)
📍 Remote | 3 Openings | Immediate Joiners | Project-Based & Retainer Opportunities
We’re building the future of healthcare automation — and we need AI specialists who can turn hospital operations into smart, automated systems using no-code tools and AI agents. If you’ve built AI-powered workflows and want to solve real-world hospital challenges, this is your moment.
🔹 What You’ll Do
As an AI Agent Developer, you’ll work on hospital-focused automation projects including:
- Patient appointment booking (via website & WhatsApp)
- Automated reminders, follow-ups, and notifications
- Chatbots & voice bots to handle patient queries
- Digital registration & form filling assistance
- Updating & maintaining Electronic Medical Records (EMR)
- Medicine reminders & post-visit engagement
- Supporting doctors with clinical alerts & treatment guidelines
- Managing patient queues, walk-ins, and calendar sync
- Coordinating teleconsultations & virtual calls
- Collecting feedback & generating monthly reports
- Handling billing, invoicing, and HIPAA-compliant data flows
🧠 Who We’re Looking For
✅ Strong hands-on experience with no-code automation tools (Make.com, Zapier, n8n, Pabbly, etc.)
✅ Built and deployed at least 4–5 AI automation projects (2+ in healthcare or service-based domains preferred)
✅ Worked with LLM APIs (OpenAI GPT-4, Claude, Gemini)
✅ Skilled in prompt engineering, API integrations, and logical workflow design
✅ Able to present portfolio links, videos, or workflow samples
✅ Available immediately and can work independently in a remote setup
💻 Tech & Tools You Should Know
- No-code platforms: Zapier, Make.com, n8n, Flowise, Pipedream
- LLM APIs: OpenAI, Claude, Gemini
- Data tools: Google Sheets, Airtable, Notion
- Integration: REST APIs, webhooks, JSON
- Bonus: LangChain, vector databases, self-hosted AI agent setups
💸 Compensation & Structure
- Per Project Payouts: ₹8,000 – ₹20,000 (based on complexity)
- Completion Bonus after 5 successful healthcare projects
📩 To Apply
Please send:
- Resume
- Portfolio (at least 1 working AI agent or workflow – video/screenshots/links)
- List of tools/platforms you’ve worked with
- Your availability for a short workflow test/demo
🌟 Why Join Us?
You’ll work on meaningful, high-impact projects that improve patient care and simplify hospital operations, all while shaping the future of AI-powered healthcare automation. Flexible, remote, real-world experience — and long-term potential if you’re ready to grow with us.
• As a Python full-stack developer, your role would involve design development and deploy full-stack applications out of Artificial intelligence projects with a focus on low latency and scalability.
• You also need to optimize the application for better performance and a large number of concurrent users.
• A strong technologist we care about doing things the right way rather than just doing them and thrives in a complex and challenging environment.
Who are we looking for?
• Bachelors / Masters in Computer Science or equivalent with at least 3+ years of professional experience.
• Solid understanding of design patterns, data structures, and advanced programming techniques
• As an Engineer in our team, you will design, code, test, and debug quality software programs.
• Strong software design and architectural skills in object-oriented and functional programming styles.
• Python, Celery, RabbitMQ, Kafka, Multithreading, Async, Microservices, Docker, Kubernetes.
• Experience in working with Machine Learning Pipelines
• Experience in Reactjs.
• Experience in Celery, RabbitMQ/Kafka.
• Experience in Unit Testing Tools.
• Experience in working with SQL & NonSql databases such as MySQL, Mongo DB.
• Exposure to cloud technologies.
• Demonstrate the ability to work in a fast paced and hyper-growth environment where the requirements are constantly changing.
• Nice to have: Experience developing products containing machine learning use cases.
• Familiar with agile techniques like code reviews, pair programming, collective code ownership, clean code, TDD and refactoring.
We are seeking a highly motivated and talented individual to join our team as a Fresher Software Developer. As a software developer, you will be involved in the entire software development life cycle, from concept and design to testing and deployment. This is an excellent opportunity for recent graduates or individuals with limited professional experience to kickstart their career in software development.
Responsibilities:
Coding and Development:
- Collaborate with cross-functional teams to analyze requirements and develop high-quality software solutions.
- Write clean, efficient, and maintainable code in accordance with industry best practices.
- Participate in code reviews to ensure code quality and provide constructive feedback.
Testing and Debugging:
- Conduct thorough testing of software applications to identify and fix bugs, ensuring the delivery of reliable and robust software.
- Debug and troubleshoot issues, providing timely resolutions.
Learning and Growth:
- Stay updated on emerging technologies and industry trends to enhance skills and contribute to continuous improvement within the development team.
- Actively participate in training programs and self-directed learning to broaden technical knowledge.
Collaboration:
- Collaborate with team members, including other developers, designers, and product managers, to deliver high-quality software solutions.
Educational Background:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

RESPONSIBILITIES:
- Plans conduct and lead assignments generally involving moderate, high-budgeted projects or more than one project.
- Manages user expectations regarding appropriate milestones and deadlines.
- Assists in training, work assignment and checking of less experienced developers.
- Serves as a technical consultant to leaders in the IT organization and functional user groups. Subject matter expert in one or more technical programming specialties; employs expertise as a generalist of a specialist.
- Performs estimation efforts on complex projects and tracks progress.
- Works on the highest level of problems where analysis of situations or data requires an in-depth evaluation of various factors.
- Documents evaluate, and researches test results; documents evolution of testing scripts for future replication.
- Identifies, recommends, and implements changes to enhance the effectiveness of quality assurance strategies.
Detailed Job Description:
- Should have experience in Development, Configuration, Implementation, and Support of Salesforce CRM applications based on Apex Language and leveraging Force.com Platform running in Cloud Computing Environments.
- Should work on developing custom objects, custom fields, role-based page layouts, custom Tabs, custom reports, report folders, design of Visual Force Pages, Dashboards, Apex Classes, Controllers & Triggers, VF Components, and various other components as per the client and application requirements.
- Should implement security and sharing rules at an object, field, and record level for different users at different levels of the organization. Also should have knowledge of creating various profiles and configured the permissions based on the organizational hierarchy.
- Should have good experience in design and develop Apex Classes, Controller Classes, and Apex Triggers for various functional needs in the application.
- Should involve in Unit Testing, Test Coverage, and Code Review.
- Should have experience working with Force.com IDE version 23.0, Eclipse IDE, and salesforce.com Sandbox environments.
- Responsible for ensuring the quality of their own work as well as the work of the development team.
- Development responsibilities include doing code review/bug analysis, analyzing development and impacts.
- The candidate should have strong programming, debugging experience, and excellent problem-solving skills.
Role Description of Senior Software Engineer (.Net) – Full Stack
Your role would primarily be to strengthen our product by building and adding new product and improving the existing product features on the platform to improve existing offerings like
- AI enabled remote proctoring and video-based Virtual Examination Solutions
- Coding Skills Evaluation Solution for 15+ programming languages
- Interview Product Like AonLive for corporates to virtually interview candidates.
- CoCubes Assessment to assess candidates and apply for Jobs
The position will be based out of Gurgaon.
Primary Responsibilities
- .Net programming to build a world class product which is scalable and secure (model to be used by millions of users)
- Responsible for designing and appropriately structuring of code, developing modules, testing and productionalizing the modules with minimal handholding.
- Own the delivery of modules with minimal supervision and ensure delivery as per release plan
- Deliver product releases in rapid iterations; manage risks, dependencies, quality issues, delivery and integration timelines
- Contribute individually as well as manage a small team of junior resources
- Ensure compliance with guidelines, framework and best practices of the organization
- Work with global team and global products
Experience
- 3-6 years of strong experience in C#, Asp.Net/MVC/Razor Pages, SQL, Java Script, Jquery/Angular JS and HTML
• Strong programming and web development expertise in ASP.Net
• Experienced in handling end to end modules / client delivery independently
• Should have managed junior team members
Desired Qualifications / Traits
- Good business acumen and analytical / problem solving abilities (including eye for detail)
• Self driven, persistent, action oriented and goal driven
• Integrity and professionalism in work
We Strongly Believe in
- Work Life Balance – Maintain a healthy balance between your work and personal life.
- Open Culture– We encourage open communication and feedback. Every one is easily approachable. No closed work cubicle in the office.
- Empowerment–Employees are given certain degree of autonomy and responsibility for decision making.
- Fun at Work – We believe fun and work go hand in hand. Parties and celebrating various occasions are integral part of the culture.
- Learning & Development–Through periodic AON training programs, focus is to keep improving employee’s technical and business skill.
Compensation
Compensation is best in the industry depending on experience and skills.









