Inside Sales Specialist

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

We are looking for a passionate AI/ML Intern with hands-on exposure to Large Language Models (LLMs), fine-tuning techniques like LoRA, and strong fundamentals in Data Structures & Algorithms (DSA). This role is ideal for someone eager to work on real-world AI applications, experiment with open-source models, and contribute to production-ready AI systems.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (6-8 LPA).

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Work on Large Language Models (LLMs) for real-world AI applications.
• Implement and experiment with LoRA (Low-Rank Adaptation) and other parameter-efficient fine-tuning techniques.
• Perform model fine-tuning, evaluation, and optimization.
• Engage in prompt engineering to improve model outputs and performance.
• Develop backend services using Python for AI-powered applications.
• Utilize GitHub for version control, including managing branches, pull requests, and code reviews.
• Work with AI platforms such as Hugging Face and OpenAI to deploy and test models.
• Collaborate with the team to build scalable and efficient AI solutions.

Must-Have Skills

• Strong proficiency in Python.
• Hands-on experience with LLMs (open-source or API-based).
• Practical knowledge of LoRA or other parameter-efficient fine-tuning techniques.
• Solid understanding of Data Structures & Algorithms (DSA).
• Experience with GitHub and version control workflows.
• Familiarity with Hugging Face Transformers and/or OpenAI APIs.
• Basic understanding of Deep Learning and NLP concepts.

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).

A Senior Business Development Associate (BDA) in the EdTech industry focused on sales would typically be responsible for developing and executing sales strategies to drive revenue growth for educational technology products or services. Some key responsibilities may include:

1. Identifying and reaching out to potential clients (e.g., educational institutions, corporate training programs) to generate leads and build a strong sales pipeline.

2. Conducting market research to understand the needs and preferences of the target audience and develop targeted sales pitches and proposals.

3. Collaborating with internal teams, such as product development and marketing, to align sales efforts with overall business goals and objectives.

4. Presenting product demonstrations, conducting sales presentations, and negotiating contracts with clients.

5. Managing client relationships, providing exceptional customer service, and addressing any inquiries or issues to ensure client satisfaction and retention.

6. Analyzing sales data, tracking performance metrics, and providing regular reports to management to evaluate the effectiveness of sales strategies and identify areas for improvement.

Overall, a Senior BDA in EdTech sales would play a crucial role in driving business growth, establishing strong relationships with clients, and contributing to the overall success of the organization in the education technology industry.

ROLES AND RESPONSIBILITIES:

·       Working with technical architects, able to convert the architecture into design and code in Java (Spring Boot), AngularJS, and NodeJS.

·       Able to generate LLD documents.

·       Ability to write Quality code with minimum defects.

·       Unit Test and following the coding standards.

·        

PREFERRED QUALIFICATION AND SKILLS:

·       5+ years strong programming and logical skills in Java (Spring Boot), AngularJS, Object Oriented Java script, NodeJS and HTML5

·       Hands on Experience on Java (Spring Boot), and MySQL is mandatory. Must have completed at least 2 full projects using Spring boot and AngularJS.

·       Excellent knowledge and experience in Spring JPA, RESTful webservices implementation.

·       NodeJS experience is value add

·       Should have participated in, and be familiar with, Agile (Scrum) project methodology and practices.

·       Must be able to mentor and guide junior technical resources.

·       One who is proactive and come forward with technology related initiatives. Motivated self-starter. 

·       Good Communication skills. English - Oral and Written.

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

We are looking for motivated individuals who are keen to work on Cloud or Big Data services or have worked on Cloud and Big Data. If you want to work in a start-up culture and are ready for the challenge, then join us on our exciting journey.

Responsibilities:

• Design, code and debug cloud-native applications.
• Evaluate and identify new technologies for implementation
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions
• Write well designed, testable, efficient code
• Develop software verification plans and quality assurance procedures
• Serve as a subject matter expert

• 5+ years of relevant experience in software development

• Deep understanding of public cloud infrastructure (AWS, Azure or Google)

• Experience with large scale distributed systems

• Ability to troubleshoot distributed systems

• Prior experience with data encryption, TLS/SSL is a strong plus

• Experience with Docker and Kubernetes is a plus

• Deep experience with Java

• Excellent communication (writing, conversation, presentation) skills, consensus building, Quick learner
  Good to have experience in Production support - Tier 4
  
  Experience with these technologies are a plus: AWS, Microsoft Azure, Google Cloud, Cloudera, Snowflake, Mongo DB, Oracle, Databricks, Datastax, Confluent

• MSSQL, SSIS, Performance Tuning, Data modeling.
• Experience in No SQL tools is must
• Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
• Maria DB/MYSQL, Mongo DB, Github, Jira
• Understand Requirements from client and on-site team.
• Participate in preparing design and data modelling.
• Comfortable with SQL Stored procedures and queries development.
• Comfortable with SQL Stored procedures and queries development.
• Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
• Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
• Ability to analyze independently problems and resolve them on time.