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Artificial Intelligence Engineer

Helo.ai by VivaConnect

2 - 5 years

Mumbai

Posted: 03/04/2026

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Job Description

Join Our Team as an AI Engineer at Helo.ai by VivaConnect

Location: Andheri, Mumbai

Working Days: Monday to Friday

Work Mode: Work from Office


About Helo.ai At Helo.ai by VivaConnect, we enable businesses to connect with their customers through powerful engagement channels at scale.

SMS, WhatsApp, RCS, Voice, and Contact Centre solutions

24+ years of industry expertise

30+ billion engagements handled annually

Partnerships with Meta, Google, and leading telecom operators We power communication infrastructure for enterprises that require reliability, automation, and intelligent customer engagement.


Why Build Your Career With Us

Work on Generative AI-powered communication platforms

Build production-grade conversational AI systems

Deploy LLM-powered workflows across engagement channels

Gain hands-on exposure to NLP, prompt engineering, and AI orchestration


Discover More About Helo.ai

Website: https://helo.ai/

LinkedIn: https://www.linkedin.com/company/sayheloai/posts/?feedView=all

Instagram: lifeathelo.ai


The Role Youll Play As an AI Engineer, you will design, develop, and deploy conversational AI and automation solutions across WhatsApp and digital engagement platforms. Your role will focus on:

Building scalable conversational AI workflows

Integrating LLM APIs into production-ready systems

Supporting automation across engagement channels

Improving response intelligence and personalization In addition to the responsibilities listed below, you should be open to taking up any additional tasks related to this role that support smoother operations and effective AI solution delivery across teams.


What Youll Be Driving

Conversational AI Development

Design chatbot workflows using NLP and Generative AI

Build assistants for automated customer engagement

Improve intent detection and response quality through prompt engineering

Optimize conversation flows for scalability and performance

LLM & Model Integration

Integrate LLM APIs into production-ready systems

Design prompt pipelines and response orchestration logic

Improve contextual accuracy through dataset refinement

Implement structured response generation for enterprise workflows

Automation & Platform Integration

Integrate AI workflows with CRM systems and CPaaS platforms

Deploy automation across WhatsApp, SMS, Email, and Voice channels

Build API-driven orchestration pipelines

Support monitoring and optimization of AI workflows

Solution Architecture Contribution

Translate business requirements into AI-powered automation solutions

Design scalable conversational architectures

Support deployment across cloud environments

Improve reliability and performance of AI services

Continuous Improvement

Monitor model performance and conversation success rates

Improve automation accuracy through testing and iteration

Suggest enhancements to AI pipelines and engagement workflows

Stay updated with Generative AI and LLM ecosystem advancements


Knowledge & Expertise We Value Functional Expertise

Experience in NLP, Conversational AI, or Generative AI solutions

Hands-on experience integrating LLM APIs into applications

Experience with prompt engineering and response optimization

Exposure to chatbot orchestration frameworks or automation pipelines

Understanding of REST APIs and JSON workflow systems Professional Strengths

Strong analytical and problem-solving mindset

Ownership-driven execution approach

Ability to work in fast-paced product environments

Clear communication with technical and business stakeholders

Collaborative approach across cross-functional teams


Platforms & Technologies Python OpenAI / LLM APIs REST APIs JSON Workflows Cloud Platforms (AWS / Azure / GCP) Conversational Automation Platforms


Education & Experience

Education: B.E. / B.Tech in Computer Engineering, AI, IT, or related field

Experience: 35 years in AI Engineering, NLP, or automation development

Experience deploying AI solutions in production environments preferred

Certifications in AI/ML, NLP, or Cloud technologies are a plus


Indicators of Success

Deployment of scalable conversational AI solutions

Successful LLM integrations into engagement platforms

Improved automation efficiency across customer channels

High-quality collaboration with product and engineering teams

Improved chatbot response accuracy


Performance & Growth The role follows defined KPIs and KRAs to ensure clarity in responsibilities, support performance tracking, and recognize contributions toward AI platform innovation and automation efficiency.


Equal Opportunity Employer At Helo.ai, we celebrate diversity and are committed to building an inclusive and collaborative environment for all employees.

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