Agentic AI - Software Engineer
About The Position
At Capgemini, the Software Engineer collaborates with cross-functional teams to deliver technology solutions that drive business value and enhance client experiences. The role contributes to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic, collaborative environment. The engineer develops Python-based services, APIs, and AI-enabled applications; builds agent workflows; and deploys and operates applications on Google Cloud. The role also supports conversational and customer-experience use cases, prototypes solutions based on business needs, tests and optimizes agent behavior and integrations, documents technical solutions, and applies responsible AI, security, access-control, and data-handling practices. This is a hybrid role across Atlanta, Nashville, and Dallas.
Requirements
- Strong Python programming skills.
- Good knowledge of REST APIs, JSON, webhooks, and system integration.
- Hands-on experience in cloud application development, deployment, logging, and monitoring in Google Cloud Platform (GCP).
- 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 based on employee grade, including 12–25 vacation days depending on 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 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.
- May be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
