Python AI Engineer - Cloud & Conversational Apps

Capgemini; Nashville (TN); Hybrid; USD 69,000 - 162,000; Full time

Job summary

Capgemini seeks an experienced Software Engineer for a hybrid role based in Nashville or Atlanta. You will develop Python services, integrate APIs, and build AI-enabled applications deployed on Google Cloud.

You’ll craft agent workflows, ensure secure and observable operations, and support delivery with documentation and demos. The role emphasizes REST/JSON, Git-based CI/CD, Docker, and evolving skills in Generative AI and enterprise integrations.

Qualifications

• Proficient in Python development with strong API integration experience.
• Experience building and consuming RESTful services, JSON and webhooks.
• Hands-on cloud app development and deployment on GCP.
• Familiarity with Git workflows, CI/CD pipelines and Docker.
• Awareness of Generative AI, prompts, RAG and AI agents is a plus.
• Strong communication, troubleshooting and learning agility.

Responsibilities

• Develop and integrate Python-based services, APIs and AI-enabled apps.
• Build agent workflows using prompts, tools, APIs and structured data.
• Deploy and operate apps on Google Cloud with secure, observable practices.
• Configure conversational use cases including virtual agents and workflow automation.
• Participate in discovery, prototype solutions, and translate business needs into tech outcomes.
• Test, troubleshoot, and optimize agent behavior, latency and reliability.
• Create technical docs, runbooks and client demos.
• Apply security, access-control and data-handling best practices throughout.

Skills

Python

REST APIs

JSON

Webhooks

Cloud apps (GCP)

Git

CI/CD

Docker

Generative AI basics

SQL basics

Tools

Git

CI/CD

Docker

Google Cloud Platform

Job description

Capgemini seeks an experienced Software Engineer for a hybrid role based in Nashville or Atlanta. You will develop Python services, integrate APIs, and build AI-enabled applications deployed on Google Cloud.

You’ll craft agent workflows, ensure secure and observable operations, and support delivery with documentation and demos. The role emphasizes REST/JSON, Git-based CI/CD, Docker, and evolving skills in Generative AI and enterprise integrations.