Agentic AI Engineer - Software Engineer

• 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.

• 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

This is a hybrid role across locations - Atlanta, Nashville, Chicago.

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.