AI Engineer

Helo

Mumbai

On-site

INR 167,400 - 279,000

Full time

14 days+

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Job summary

Join Helo as an AI Engineer in Mumbai, where you'll design and deploy conversational AI solutions for various engagement platforms. You'll be responsible for integrating LLM APIs, building scalable workflows, and leveraging your expertise in NLP. The ideal candidate should have 3-5 years of experience, a degree in a relevant field, and skills in Python and cloud platforms. The role promotes diversity and an inclusive work environment.

Qualifications

  • 3-5 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.

Responsibilities

  • Design, develop, and deploy conversational AI and automation solutions.
  • Build scalable conversational AI workflows.
  • Integrate LLM APIs into production-ready systems.
  • Support automation across engagement channels.

Skills

NLP
Conversational AI
Generative AI
Problem-solving
Analytical skills
Collaboration

Education

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

Tools

Python
OpenAI
REST APIs
JSON Workflows
Cloud Platforms (AWS / Azure / GCP)

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

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
The Role You’ll 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 You’ll 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
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

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

  • Education: B.E. / B.Tech in Computer Engineering, AI, IT, or related field
  • Experience: 3-5 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.

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

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