GECX AI Forward Deployed Engineer - Software Engineer
About The Position
Capgemini is hiring an experienced software engineer to design and build production-grade conversational and Agentic AI applications. The role involves hands-on development with Python, APIs, JSON, Gemini, Vertex AI, Google ADK, and applicable agent frameworks, as well as building CES/GECX integrations and modernization scenarios. The engineer will implement agent capabilities, enterprise grounding and retrieval solutions, integrations with business systems, and full-stack components, then deploy and operate applications using appropriate Google Cloud Platform services. The position also covers security, evaluation, observability, testing, and troubleshooting across agent logic, prompts, retrieval, tools, APIs, infrastructure, and distributed services. The engineer will rapidly prototype solutions, move validated prototypes toward production readiness, and work directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers. The role is hybrid and based in Atlanta, Dallas, Nashville, Houston, New Jersey, or Chicago.
Requirements
- At least 6 years of relevant experience.
- Strong hands-on Python and software engineering skills.
- Good experience in Gemini/Generative AI application development, Vertex AI, and Agentic AI architectures.
- Solid exposure to REST APIs and JSON.
- Experience with RAG, embeddings, or enterprise grounding.
- Good experience with GCP application deployment, IAM/security fundamentals, and enterprise integration.
- Senior-level candidate.
Nice To Haves
- Experience with Google ADK.
- CES/GECX experience.
- Contact-center or CCaaS integration experience.
- Multi-agent architectures.
- MCP/A2A.
- Agent evaluation and observability.
- Streaming or real-time APIs.
- Production conversational AI.
- Telephony integrations.
Responsibilities
- Design and build production-grade conversational and Agentic AI applications.
- Develop software 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 involving 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, including 12–25 vacation 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 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
