Lead Software Engineer - Senior GECX AI Engineer-
About The Position
Capgemini is hiring an experienced software development professional to design, build, deploy, and support production-grade conversational and Agentic AI applications. The role focuses on hands-on development with Python and modern software engineering practices, building agents with Gemini, Vertex AI, Google ADK, and applicable agent frameworks, and integrating them with enterprise data, APIs, and systems. The engineer will work on CES / GECX integrations and modernization scenarios, develop full-stack components, and implement secure, observable, and tested solutions on GCP. The role includes diagnosing production issues and working directly with customer engineering teams to reproduce and resolve technical problems. It is a hybrid role based across Atlanta, Nashville, Chicago, Dallas, New Jersey, New York, and Houston.
Requirements
- 10+ years of experience with software development, including strong hands-on Python and software engineering.
- Experience with Gemini / Generative AI application development.
- Experience with Vertex AI and Agentic AI architectures.
- Experience with REST APIs / JSON.
- Experience with RAG / embeddings / enterprise grounding and GCP application deployment.
- IAM / security fundamentals.
- Enterprise integration experience.
Nice To Haves
- Google ADK.
- CES / GECX experience.
- Contact-center / CCaaS integration.
- Multi-agent architectures.
- MCP / A2A.
- Agent evaluation and observability.
- Streaming / real-time APIs.
- Production conversational AI.
Responsibilities
- Design and build production-grade conversational and Agentic AI applications.
- Develop hands-on using Python, APIs, JSON, and modern software engineering practices.
- Build and troubleshoot CES / GECX integrations and modernization scenarios.
- Build agents using Gemini, Vertex AI, Google ADK, and applicable agent frameworks.
- Implement tool/function calling, workflows, state/context management, and agent orchestration.
- Develop RAG and enterprise-grounding solutions over structured and unstructured data.
- Integrate agents with enterprise APIs, databases, CRM, contact-center platforms, and backend systems.
- Develop full-stack components required to complete customer solutions.
- Implement secure authentication, IAM, secrets management, and service-to-service communication.
- Deploy applications using appropriate GCP services.
- Implement agent evaluation, tracing, observability, guardrails, and regression testing.
- Diagnose production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure, and distributed services.
- Rapidly prototype technical solutions and evolve validated prototypes toward production readiness.
- Work directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers.
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. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
