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Capgemini

engineering opportunity

Agentic AI Engineer - Software Engineer

Develop and integrate Python-based services, APIs, and AI-enabled applications while building agent workflows using enterprise data. Deploy and operate these applications on Google Cloud while ensuring secure, observable, and repeatable engineering practices.

Atlanta, Georgia, United StateshybridFULL_TIME

Posted

About the role

What will you do at Capgemini?

Location

This is a hybrid role across locations - Atlanta, Nashville, Chicago.About the job you're considering

The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.Your role

Develop and integrate Python-based services, APIs and AI-enabled applications.

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.

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.

Your skills and experience

4 plus years experience working on Python: scripting, API integration, and application-level development

Cloud Platforms: hands-on experience with at least one major cloud provider (GCP preferred; Strong Azure or AWS also acceptable) compute, networking, IAM, and basic service deployment

Experience in deployment with containerization and orchestration (Docker, Kubernetes)

Understanding/Exp of CI/CD concepts and tools (GitLab CI/CD or equivalent)

Understanding working exp of REST APIs and JSON-based data exchange

Prior exposure to GenAI concepts (LLMs, prompt engineering, embeddings)

Familiarity with Google Cloud console navigation and Vertex AI / Agent Platform tools Preferred

#LI-RM1 - Hybrid

Which skills does this role require?

Google Cloud PlatformGenerative AIAgentic WorkflowsSoftware DevelopmentCloud ComputingSoftware EngineeringAutomationVirtual AgentsData HandlingSecurityResponsible AI

Make your next move

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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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