Software Engineer
Job description
The full responsibilities and requirements are on the employer’s site.
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Implementation & delivery · Evidence for this classification:
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This role is a Hybrid opportunity based in Nashville or Atlanta About the job you're considering 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. Key Responsibilities Develop and integrate Python-based
More from the job description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This role is a Hybrid opportunity based in Nashville or Atlanta About the job you're considering 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. Key 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 out [... source excerpt omitted ...] timize agent behavior, integrations, latency, reliability and user experience. Create technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients. Apply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle. Required Skills Strong Python programing skills. Good knowledge of REST APIs, JSON, webhooks and system integration. Hands-on cloud application development, deployment, logging and monitoring experience in GCP 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 [... source excerpt omitted ...] Skills Experience in a contact-center or conversational platform such as Genesys Cloud, NICE CXone, Amazon Connect, Dialogflow or a similar platform. Basic Experience designing customer journeys, conversation flows. The base compensation range for this role in the posted location is: $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as per
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