# FBS- Agile Dev Team Member IV- AI

**Company**: Capgemini
**Location**: Pune, Maharashtra
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Consulting
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/nVduKtkcGd1vSUD81qD3fZ/hybrid-fbs--agile-dev-team-member-iv--ai-in-pune-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cb227974-5c9

## Description

We are seeking an AI Engineer to design and implement AI-powered voice agent capabilities for contact center quoting workflows.

This role focuses on building AI and backend services integrated with Cisco and GECX platforms for real-time customer interactions.

**Key Responsibilities**

- Design and develop AI voice agent capabilities, including conversational logic and backend integrations

- Drive implementation and integration across Cisco contact center and GECX (CX) platforms, along with AI-driven conversational components and Node.js services, enabling seamless end-to-end voice interaction flows

- Build and maintain Node.js-based APIs and backend services supporting real-time voice interaction workflows

- Implement and optimize prompt-based dialog flows, including conversation state and session management

- Implement comprehensive dialogue flow logging, ensuring structured capturing of session states, prompt inputs, LLM responses, and latency metrics for downstream analytics, conversational auditing, and continuous prompt tuning

- Champion the integration of the Model Context Protocol (MCP) to standardize how the LLM voice agent securely accesses context, connects to internal enterprise data sources, and executes tools

- Develop the Python-based connector layer to bridge the real-time voice agent orchestration with backend applications, ensuring secure, auto-scaling, and ultra-low latency execution of serverless containerized AI workloads

- Collaborate with solution engineers and cross-functional teams to align on integration design and implementation approach

- Troubleshoot and resolve production issues across AI, telephony integration, and backend layers

- Contribute to performance tuning, scalability improvements, and system reliability

- Mentor junior engineers and promote best practices in conversational AI and backend development

**Required Skills & 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) and strong understanding of conversational design, including prompt-driven dialog flows and session/state management

- Experience working with customer experience (CX) platforms (e.g., GECX) and integration with contact center systems

- Deep experience with Cisco contact center platforms, along with 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

## Skills

### Required
- Node.js
- AI-driven conversational platforms
- Cisco contact center platforms
- GECX
- Python
- backend development
- software engineering
- conversational design
- telephony concepts

### Nice to have
- end-to-end voice bot or conversational AI implementations
- voice AI components
- speech-to-text (ASR)
- text-to-speech (TTS)
- microservices-based architectures
- scalable backend systems
- modern conversational frameworks
- MCP-like concepts
- insurance or quoting workflows

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/nVduKtkcGd1vSUD81qD3fZ/hybrid-fbs--agile-dev-team-member-iv--ai-in-pune-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)