Agile Development Team Member IV – AI

Jobtailor; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Jobtailor seeks an experienced Backend/AI Engineer to design and deliver AI voice agent capabilities for contact center workflows. You will drive integration across Cisco contact center, GECX, and Node.js services, building APIs for real-time voice interactions and implementing prompt-based dialogue with robust session management.

The role emphasizes secure, scalable serverless containerized AI workloads, logging, and collaboration with cross-functional teams.

Qualifications

• 8+ years of experience in software engineering, backend development, or AI-driven systems.
• Strong experience with Node.js backend development (APIs, microservices, integration layers).
• Experience with system integration across distributed, real-time systems.
• Experience with AI-driven conversational platforms (voice/chat).
• Strong understanding of conversational design, including prompt-driven dialog flows and session/state management.
• Experience with CX platforms such as GECX and integration with contact center systems.
• Deep experience with Cisco contact center platforms.
• Strong understanding of telephony concepts such as SIP, call routing, and bot-to-agent handoffs.
• 2–4 years of experience in conversational systems, voice/chat platforms, or AI-driven interaction solutions.
• Proven experience working on multi-system integrations and real-time application flows.

Responsibilities

• Design and develop AI voice agent capabilities for contact center quoting workflows.
• Drive implementation and integration across Cisco contact center, GECX, AI conversational components, and Node.js services.
• Build and maintain Node.js-based APIs and backend services for real-time voice interaction workflows.
• Implement and optimize prompt-based dialog flows, conversation state, and session management.
• Implement dialogue flow logging for session states, prompt inputs, LLM responses, and latency metrics.
• Integrate the Model Context Protocol (MCP) for secure LLM access to enterprise data sources and tools.
• Develop Python-based connector layers linking voice-agent orchestration with backend applications.
• Ensure secure, auto-scaling, ultra-low-latency execution of serverless containerized AI workloads.
• Collaborate with solution engineers and cross-functional teams on integration design and implementation.
• Troubleshoot production issues across AI, telephony integration, and backend layers.
• Contribute to performance tuning, scalability, and system reliability.
• Mentor junior engineers and promote conversational AI and backend development best practices.

Skills

Node.js Backend Development

AI-Driven Conversational Platforms

System Integration Across Distributed

Conversational Design and State Mgmt

Telephony Concepts and Integration

Tools

Cisco Contact Center

GECX

GCP Cloud

Model Context Protocol (MCP)

Job description

• Design and develop AI voice agent capabilities for contact center quoting workflows
• Drive implementation and integration across Cisco contact center, GECX, AI conversational components, and Node.js services
• Build and maintain Node.js-based APIs and backend services for real-time voice interaction workflows
• Implement and optimize prompt-based dialog flows, conversation state, and session management
• Implement dialogue flow logging for session states, prompt inputs, LLM responses, and latency metrics
• Integrate the Model Context Protocol (MCP) for secure LLM access to enterprise data sources and tools
• Develop Python-based connector layers linking voice-agent orchestration with backend applications
• Ensure secure, auto-scaling, ultra-low-latency execution of serverless containerized AI workloads
• Collaborate with solution engineers and cross-functional teams on integration design and implementation
• Troubleshoot production issues across AI, telephony integration, and backend layers
• Contribute to performance tuning, scalability, and system reliability
• Mentor junior engineers and promote conversational AI and backend development best practices

Requirements

• 8+ years of experience in software engineering, backend development, or AI-driven systems
• Strong experience with Node.js backend development (APIs, microservices, integration layers)
• Experience with system integration across distributed, real-time systems
• Experience with AI-driven conversational platforms (voice/chat)
• Strong understanding of conversational design, including prompt-driven dialog flows and session/state management
• Experience with customer experience (CX) platforms such as GECX and integration with contact center systems
• Deep experience with Cisco contact center platforms
• Strong understanding of telephony concepts such as SIP, call routing, and bot-to-agent handoffs
• Strong problem-solving skills and ability to drive implementation independently within a defined architecture
• GECX
• GCP Cloud
• 2–4 years of experience in conversational systems, voice/chat platforms, or AI-driven interaction solutions
• Proven experience working on multi-system integrations and real-time application flows

Core Competencies

Demonstrates expertise in Node.js backend development, AI-driven conversational systems, and system integration for real-time applications. Proven ability to design, implement, and optimize voice agent capabilities while ensuring system reliability and performance.

Highest-signal resume keywords

• Node.js Backend Development
• AI-Driven Conversational Platforms
• System Integration Across Distributed Systems
• Conversational Design and State Management
• Telephony Concepts and Integration

Hard Skills

• Node.js
• Python
• API Development
• Microservices
• Prompt-Based Dialog Flows
• Session Management
• Performance Tuning
• Scalability
• Real-Time Application Flows
• Multi-System Integrations

Soft Skills

• Problem-Solving
• Mentoring
• Collaboration

Industry Keywords

• Customer Experience (CX)
• Telephony Integration
• Voice/Chat Platforms
• AI-Driven Interaction Solutions

Tools & Technologies

• Cisco Contact Center
• GECX
• GCP Cloud
• Model Context Protocol (MCP)