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# Agentic AI - Software Engineer

- **Company:** Capgemini
- **Location:** Irving, TX, United States
- **Salary:** $63,140.0 - $118,144.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Computer Programming, Continuous Integration, Software Debugging, JSON, Python (Programming Language), Standard Sql, Systems Integration, Data Logging, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Git, Low Latency, Data Management, Virtual Agents, Google Gemini, Restful APIs, Cloud Application Development, Webhooks, Docker
- **Published:** October 16, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3451605145&tx=KJ9999FFU&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

* Strong Python programing skills.
 * Good knowledge of REST APIs, JSON, webhooks and system integration.
 * Hands-on cloud application development, deployment, logging and monitoring experience in GCP cloud
 * Working knowledge of Git, CI/CD and Docker.
 * Good awareness of Generative AI, LLMs, prompt engineering, RAG and AI agents.
 * Basic SQL and data-handling skills.
 * Good communication, troubleshooting, and customer-service process understanding.
 * Strong analytical thinking, debugging, communication and learning agility.
 * Willing to learn and upskill on Agentic AI or Google Gemini Enterprise

## Description

* Build agent workflows using prompts, tools, APIs, enterprise knowledge and structured data.
 * Deploy and operate applications on Google Cloud using secure, observable and repeatable engineering practices.
 * Configure and extend conversational and customer-experience use cases, including virtual agents, agent assistance and workflow automation.
 * Participate in discovery sessions, rapidly prototype solutions and translate business needs into working technical outcomes.
 * Test, troubleshoot and optimize agent behavior, integrations, latency, reliability and user experience.
 * Create technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients.
 * Apply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle.