Senior Software Engineer

Capgemini • Chicago, IL

4d • Hybrid

About The Position

This role is a Hybrid opportunity based in New jersey, Atlanta, Chicago, Dallas. At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment. Overview 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed