AI Voice Agent & Automation Developer

Position

AI Voice Agent & Automation Developer (Full Stack)

Job Summary

We are looking for a highly skilled AI Voice Agent & Automation Developer with hands-on experience in designing, developing, deploying, and maintaining production-grade voice agents and AI-powered automation workflows. The ideal candidate should be comfortable working across the full technology stack, integrating APIs, understanding business requirements, and delivering scalable, high-performance solutions.

This role requires someone who can independently translate business problems into technical solutions while keeping scalability, reliability, and user experience in mind.

Key Responsibilities

• Design, develop, and deploy AI Voice Agents using modern LLMs and speech technologies.
• Build conversational workflows for inbound and outbound voice interactions.
• Develop intelligent automation workflows integrating multiple third-party services.
• Integrate AI models with CRM, ERP, telephony systems, WhatsApp, email, and other enterprise applications.
• Build secure and scalable backend services and APIs.
• Develop frontend dashboards for monitoring conversations, analytics, and workflow management.
• Design and consume REST APIs, Webhooks, and event-driven integrations.
• Understand business requirements and convert them into efficient technical architectures.
• Optimize AI prompts, latency, response quality, and operational costs.
• Ensure production readiness, monitoring, logging, and system reliability.
• Troubleshoot production issues and continuously improve system performance.
• Collaborate with product managers, designers, and business stakeholders to deliver high-quality solutions.

Required Skills

AI & Voice Technologies

• Hands-on experience building AI Voice Agents using platforms such as Vapi, Retell AI, Bland AI, ElevenLabs, LiveKit, Twilio, or similar.
• Experience integrating OpenAI, Anthropic, Gemini, DeepSeek, or other LLMs.
• Strong understanding of Speech-to-Text (STT), Text-to-Speech (TTS), and conversational AI.
• Experience with prompt engineering, function calling, memory management, and RAG-based applications.

Automation

• Experience building automation using n8n, Make, Zapier, LangFlow, Flowise, or similar orchestration tools.
• Ability to integrate multiple SaaS platforms through APIs and Webhooks.
• Experience creating end-to-end business process automations.

Backend

• Strong experience with Node.js (NestJS/Express preferred).
• Experience with Python for AI integrations is a plus.
• Strong understanding of REST APIs, WebSockets, authentication, and microservices.
• Experience with PostgreSQL, MongoDB, Redis, and vector databases.

Frontend

• Experience with React.js or Next.js.
• Good understanding of TypeScript, HTML5, CSS3, and Tailwind CSS.
• Ability to build responsive admin dashboards and workflow management interfaces.

Cloud & DevOps

• Experience deploying applications on AWS, Azure, or Google Cloud.
• Familiarity with Docker, Git, CI/CD pipelines, and cloud infrastructure.
• Understanding of monitoring, logging, and performance optimization.

Technical Expectations

The ideal candidate should have experience working with

• React / Next.js
• Node.js / NestJS
• TypeScript
• Python (preferred)
• PostgreSQL / MongoDB
• Redis
• Vector Databases (Pinecone, Weaviate, Qdrant, etc.)
• REST APIs & WebSockets
• Git & GitHub
• Docker
• AWS / Azure / GCP

What We’re Looking For

• Strong problem-solving and analytical skills.
• Ability to quickly understand new business requirements.
• Excellent API integration and system design skills.
• Ability to independently own features from requirement gathering to deployment.
• Passion for AI, automation, and emerging technologies.
• Strong communication and documentation skills.
• Ability to optimize solutions for scalability, performance, and cost.

Preferred Qualifications

• 3+ years of software development experience.
• 1+ year of hands-on experience building AI Voice Agents or conversational AI products.
• Experience working in startup environments with ownership of end-to-end product delivery.
• Experience integrating telephony providers, CRMs, payment gateways, and enterprise APIs.
• Familiarity with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar is an advantage.

Nice to Have

• Experience with RAG architectures and vector search.
• Knowledge of MCP (Model Context Protocol).
• Experience with event-driven architectures.
• Exposure to AI evaluation, observability, and monitoring tools.
• Understanding of security best practices and scalable cloud architectures.

Pay

₹20,000.00 - ₹30,000.00 per month

Education

Bachelor's (Required)

Experience

AI Voice Agent & Automation Developer: 1 year (Required)

Location

New Delhi, Delhi 110075 (Required)

Work Location

In person