Artificial Intelligence Engineer
Helo.ai by VivaConnect
2 - 5 years
Mumbai
Posted: 03/04/2026
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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