GECX AI Forward Deployed Engineer - Senior Software Engineer
About The Position
Capgemini is hiring an experienced software engineering professional for a hybrid role based across Atlanta, Dallas, Nashville, Houston, New Jersey, and Chicago. The role focuses on designing and building production-grade conversational and agentic AI applications, developing integrations and modernization scenarios, and helping customers move validated prototypes toward production readiness. The engineer will work with Python, Google Cloud Platform services, Gemini, Vertex AI, Google ADK, and applicable agent frameworks, while integrating AI solutions with enterprise systems and services. The position also involves working directly with customer engineering teams to reproduce and debug issues, resolve technical blockers, and diagnose production problems across agents, prompts, retrieval, tools, APIs, infrastructure, and distributed services. The role is intended for a senior candidate with more than 10 years of relevant experience.
Requirements
- More than 10 years of relevant experience.
- Strong hands-on Python and software engineering skills.
- Experience in Gemini/Generative AI application development, Vertex AI, and agentic AI architectures.
- Solid exposure to REST APIs and JSON.
- Experience in RAG, embeddings, and enterprise grounding.
- Experience with GCP application deployment, IAM/security fundamentals, and enterprise integration.
Nice To Haves
- Experience with Google ADK and CES/GECX.
- Experience with contact-center/CCaaS integration and multi-agent architectures.
- Experience with MCP/A2A, agent evaluation, and observability.
- Experience with streaming/real-time APIs, production conversational AI, and telephony integrations.
Responsibilities
- Design and build production-grade conversational and agentic AI applications.
- Develop software 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 and function calling, workflows, state and 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 needed 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 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
