Agentic AI Engineer - Software Engineer

About the role

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