Senior AI Voice Platform Engineer (Full Stack AI Developer)

Supere Limited; Dadri; On-site; INR 1,800,000 - 4,200,000; Full time

Job summary

Tradologie is seeking a Senior AI Voice Platform Engineer to lead the design and development of an enterprise-grade AI Voice Agent platform, capable of handling calls, multilingual conversations, scheduling, CRM integration, and real-time analytics.

You will work across AI, voice tech, backend, cloud infrastructure, and modern web development to deliver an MVP within six months and scale for high concurrency.

Qualifications

• 5–7 years of software development experience.
• 2+ years with LLMs and AI agents; strong SaaS portfolio.
• Experience with enterprise architecture and scalable cloud systems.

Responsibilities

• Build a complete AI calling platform similar to Kesy.ai.
• Develop AI-powered inbound and outbound voice agents.
• Enable real-time, low-latency human-like conversations.
• Integrate with CRM and enterprise tools.
• Design RAG pipelines and knowledge ingestion.

Skills

5–7 years software development

LLMs & AI agents

SaaS product experience

Debugging & problem-solving

Independent work

Education

Tools

Twilio

FastAPI

NestJS

ReactJS

Celery

BullMQ

Job description

Senior AI Voice Platform Engineer (Full Stack AI Developer)

4-7

Head Office

Full-Time

Job Title:

Senior AI Voice Platform Engineer (Full Stack AI Developer)

Experience

5–7 Years

Employment Type

Full-Time

Tradologie is a global B2B trade facilitation platform connecting over 1.25 million verified buyers and sellers across more than 100 countries. We are building the next generation of AI-powered business communication tools, including intelligent voice agents that automate customer engagement, business verification, lead qualification, multilingual conversations, and trade assistance.

We are looking for an experienced engineer to build a complete AI Voice Calling Platform similar to Kesy.ai, customized for B2B trade and enterprise automation.

Job Summary

You will lead the design and development of an enterprise-grade AI Voice Agent platform capable of handling inbound and outbound calls, natural conversations, appointment scheduling, CRM integration, multilingual support, knowledge-based responses, and real-time analytics.

This role requires expertise in AI, voice technologies, backend architecture, cloud infrastructure, and modern web development.

Key Responsibilities

• Build a complete AI calling platform similar to Kesy.ai.
• Develop AI-powered inbound and outbound voice agents.
• Enable real-time human-like conversations with low latency.
• Support call transfer to human agents.
• Implement voicemail detection and handling.
• Handle interruptions (barge-in) during conversations.
• Support DTMF and IVR interactions.
• Design conversation flows with dynamic decision-making.
• Integrate OpenAI GPT models, Google Gemini, or Claude.
• Build Retrieval-Augmented Generation (RAG) pipelines.
• Create knowledge base ingestion from:
• Websites
• PDFs
• Word documents
• FAQs
• Internal documentation
• Build prompt engineering and system prompts.
• Implement memory management for conversations.
• Develop AI workflows using LangGraph or similar orchestration frameworks.

Voice AI

• Integrate Speech-to-Text services such as Deepgram or Whisper.
• Integrate Text-to-Speech providers like ElevenLabs or Cartesia.
• Optimize voice quality and latency.
• Support multilingual conversations.
• Support voice selection and custom voices.
• Implement streaming audio pipelines.
• Integrate with: Exotel
• Manage inbound and outbound calls.
• Build call recording and playback.
• Generate call summaries automatically.
• Implement call disposition and tagging.
• Build authentication and authorization.
• Manage customer workspaces.
• Develop background processing for AI jobs.
• Build webhook integrations.
• Implement API rate limiting and monitoring.
• Optimize performance for high concurrency.

Develop a modern SaaS dashboard with modules for:

• Call History
• Live Call Monitoring
• Call Scheduling
• Workflow Automation
• Call Recordings

AI Features

Implement features such as:

• Business verification calls
• Lead qualification
• Smart escalation to human agents
• AI-generated call summaries
• Sentiment analysis
• Automatic data extraction
• CRM updates after each call

Integrations

Develop integrations with:

• Salesforce
• WhatsApp Business APIs
• Internal ERP systems

Security & Infrastructure

• Implement JWT/OAuth authentication.
• Secure APIs and sensitive data.
• Encrypt call recordings and stored information.
• Implement role-based access control.
• Ensure GDPR-style privacy controls where applicable.
• Build scalable cloud deployments.
• Monitor logs and system health.

Required Technical Skills

Frontend

• Tailwind CSS
• Python (FastAPI) or Node.js (NestJS)
• Celery or BullMQ

AI

• Prompt Engineering
• RAG architecture

Voice

• ElevenLabs

Cloud

• Google Cloud (preferred)
• Cloudflare R2

Nice to Have

• AI Agent architecture experience.
• Experience building SaaS platforms.
• Call center software development.
• Workflow automation platforms.
• Experience with multilingual AI systems.
• Knowledge of MCP (Model Context Protocol).
• Experience building enterprise AI products.

Within the first six months, the candidate should deliver:

• AI Voice Calling Platform (MVP)
• Call Analytics Dashboard
• Telephony Integration
• Deployment to Production

Soft Skills

• Excellent debugging and problem-solving ability.
• Clear communication and documentation.
• Ability to work independently.
• Passion for AI and emerging technologies.

Preferred Candidate Profile

• 5–7 years of software development experience.
• 2+ years of hands-on experience with LLMs and AI agents.Strong portfolio of AI or SaaS products.
• Familiarity with enterprise architecture and scalable cloud systems.

short note for linkdine job posting and interview mode f2f only

Required Skills

Full stack developer AI conversational AI python LLM Engineer Rest API twilio FastAPI reactjs