Software Engineer - Agentic AI engineer
About The Position
Capgemini is hiring a Software Engineer to collaborate with cross-functional teams in delivering technology solutions that create business value and improve client experiences. The role contributes to the design, development, and continuous improvement of scalable, high-quality solutions. It is a hybrid opportunity based in Nashville or Atlanta. The engineer will develop Python-based services and AI-enabled applications, build agent workflows, and deploy applications on Google Cloud. The work also includes supporting conversational and customer-experience solutions, participating in discovery and prototyping, optimizing agent behavior and integrations, documenting deployments, and applying responsible AI, security, access-control, and data-handling practices. The position may be eligible for additional compensation such as variable incentives, bonuses, or commissions. Capgemini offers a benefits package to regular, full-time employees, with availability based on local policy and eligibility.
Requirements
- Strong Python programming skills.
- Good knowledge of REST APIs, JSON, webhooks, and system integration.
- Hands-on experience with cloud application development, deployment, logging, and monitoring in Google Cloud.
- Working knowledge of Git, CI/CD, and Docker.
- Good awareness of generative AI, LLMs, prompt engineering, RAG, and AI agents.
- Basic SQL and data-handling skills.
- Good communication, troubleshooting, and customer-service process understanding.
- Strong analytical thinking, debugging, communication, and learning agility.
- Willingness to learn and upskill in Agentic AI or Google Gemini Enterprise.
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 using secure, observable, and repeatable engineering practices.
- Configure and extend conversational and customer-experience use cases, including virtual agents, agent assistance, and workflow automation.
- Participate in discovery sessions, rapidly prototype solutions, and translate business needs into working technical outcomes.
- Test, troubleshoot, and optimize agent behavior, integrations, latency, reliability, and user experience.
- Create technical documentation, deployment runbooks, and demonstrations for delivery teams and clients.
- Apply responsible AI, security, access-control, and data-handling practices throughout the solution lifecycle.
Benefits
- Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- The role may be eligible for variable incentives, bonuses, or commissions.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
