Agentic AI Engineer - Software Engineer

Capgemini; Atlanta (GA); On-site; 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

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