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# Senior Software Engineer

- **Company:** Capgemini
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $82,082.0 - $193,440.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Programming Tools, Rapid Application Development, Software Safety, Software Engineering, Large Language Models, Multi-Agent Systems, No-code Tools, Low-code
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b57635e9cd5691c8

## About the Role

We are seeking a highly motivated AI Developer with strong 'vibe coding' capabilities who can rapidly transform ideas into production-ready solutions using modern AI-assisted development tools., * Strong experience with AI-assisted software development and rapid application prototyping.

 * Hands-on experience working with LLMs and agent-based systems.
 * Proficiency in designing, developing, and deploying AI-powered applications and workflows.
 * Familiarity with low-code/no-code platforms and hybrid development environments.
 * Experience with MCP, agent frameworks, tool orchestration, and agent integration patterns.
 * Strong problem-solving skills with the ability to move quickly from idea to production-ready solutions.
 * Understanding of testing, evaluation methodologies, and AI safety/guardrail implementation.

Preferred Qualification

 * Experience building and deploying AI agents in production environments.
 * Exposure to modern AI development ecosystems, including OpenAI, Anthropic Claude, and related tooling.
 * Proven ability to work in fast-paced, innovation-driven environments and deliver solutions rapidly.

## Description

* Ideate, design, and launch innovative products, user experiences, and workflows leveraging Large Language Models (LLMs).
 * Rapidly prototype, build, and deploy applications using AI-assisted coding tools such as Claude Code, OpenAI, and other natural language-driven development platforms.
 * Establish project foundations and architecture, and develop core product features from concept to deployment.
 * Design, build, deploy, and integrate AI agents into products with speed, scalability, and agility.
 * Implement testing frameworks, perform evaluations, and establish appropriate guardrails to ensure reliability, safety, and performance.
 * Collaborate closely with product, engineering, and business stakeholders to deliver high-impact AI solutions.
 * Leverage low-code/no-code platforms alongside traditional development approaches to accelerate solution delivery.
 * Integrate external tools, services, and data sources using Model Context Protocol (MCP) and modern agent-tool integration patterns.


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