GenAI & Cloud Software Engineer — AI Agent Workflows

Capgemini; Nashville (TN); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Capgemini seeks an experienced software developer to design and implement Python-based services and AI-enabled applications across hybrid locations including Nashville. You will build agent workflows, integrate tools and APIs, and deploy on Google Cloud using secure, observable practices.

The role requires 4+ years of Python experience, cloud and containerization expertise (GCP preferred; Azure/AWS acceptable), and familiarity with GenAI concepts.

Qualifications

• 4+ years of Python development experience.
• Hands-on cloud experience with at least one major provider (GCP preferred; Azure or AWS also acceptable).
• Experience with containerization/orchestration (Docker, Kubernetes).
• Familiarity with CI/CD concepts and GitLab CI/CD or equivalents.
• Experience with REST APIs and JSON data exchange.
• Exposure to GenAI concepts (LLMs, prompts, embeddings).
• Familiar with Google Cloud console, Vertex AI/Agent Platform is a plus.

Responsibilities

• 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 with secure, observable engineering practices.
• Configure and extend conversational and customer-experience use cases (virtual agents, workflow automation).
• Test, troubleshoot and optimize agent behavior, integrations, latency, reliability and UX.
• Create technical documentation, deployment runbooks and client-ready demos.
• Apply responsible AI, security, access-control and data-handling practices throughout lifecycle.

Skills

Python

GCP

Azure/AWS

Docker

Kubernetes

CI/CD

REST APIs

GenAI / LLMs

Vertex AI

Job description

Capgemini seeks an experienced software developer to design and implement Python-based services and AI-enabled applications across hybrid locations including Nashville. You will build agent workflows, integrate tools and APIs, and deploy on Google Cloud using secure, observable practices.

The role requires 4+ years of Python experience, cloud and containerization expertise (GCP preferred; Azure/AWS acceptable), and familiarity with GenAI concepts.