> Markdown version of [/jobs/ext/3936352-ai-gecx-engineer](https://www.wearedevelopers.com/jobs/ext/3936352-ai-gecx-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-GECX Engineer - **Company:** Capgemini - **Location:** Nashville, TN, United States - **Experience:** Expert - **Salary:** $53,580.0 - $122,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Computing, Cloud Computing Security, Cloud Engineering, Database Development, Database Theory, DevOps, JSON, Python (Programming Language), Automation of Marketing, Scrum Methodology, Software Deployment, Software Engineering, SQL Databases, Systems Integration, Software Organization, Enterprise Software Applications, Chatbots, Backend, Agentic-AI, Containerization, AI Platforms, Virtual Agents, Restful APIs, Api Management, Docker, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.nashvillejobsite.com/job.asp?id=3467709001&tx=FP8178FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of experience in software engineering with strong focus on Python application development. * Hands-on experience with Python, REST APIs, JSON, SQL, and modern software development practices. * Strong experience developing and consuming RESTful services and API integrations. * Experience working with cloud platforms and cloud-native application deployment. * Hands-on experience with Docker and containerized application development. * Strong understanding of database concepts and SQL development. * Experience using Git and version control best practices. * Experience developing AI-enabled applications using Vertex AI and related AI services. * Familiarity with agent frameworks, agent tools, and AI-driven workflow orchestration. * Knowledge of GECX/CES solution patterns and customer experience platforms. * Experience building AI-powered customer experience solutions. * Hands-on experience with Vertex AI model integration and deployment. * Knowledge of conversational AI, intelligent agents, and automation platforms. * Experience working with enterprise cloud architectures and microservices. - Familiarity with CI/CD pipelines and DevOps practices. * Experience supporting high-availability, production-grade enterprise applications. * Experience in customer experience transformation initiatives and AI-driven service modernization. ## Description Capgemini is hiring an Onsite AI-GECX / FDE Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for developing, deploying, and supporting AI-enabled applications and services using Python, cloud technologies, APIs, and modern agent frameworks while collaborating with business and technology teams to deliver scalable, secure, and production-ready solutions. Your Role * Design, develop, and deploy AI-powered applications using Python and cloud-native technologies. * Build and integrate RESTful APIs and microservices that support enterprise-scale customer experience solutions. * Develop AI-enabled workflows leveraging Vertex AI, agent tools, and related AI services. * Design and implement integrations using REST/JSON APIs and backend services. * Build scalable and secure cloud-based applications following modern engineering best practices. * Support AI-GECX solutions by implementing business workflows and customer experience patterns.