GECX AI Forward Deployed Engineer - Senior Software Engineer
About The Position
Capgemini is hiring an experienced Senior Software Engineer to design, build, integrate, deploy, and support production-grade conversational and Agentic AI applications. The role involves hands-on software development with Python, APIs, and JSON; building agents with Gemini, Vertex AI, Google ADK, and applicable agent frameworks; and delivering RAG and enterprise-grounding solutions over structured and unstructured data. The engineer will integrate agents with enterprise APIs, databases, CRM, contact-center platforms, and backend systems, while developing full-stack components, implementing security, and deploying on GCP. The position also focuses on agent evaluation, tracing, observability, guardrails, regression testing, and diagnosing production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure, and distributed services. The engineer will prototype solutions and develop validated prototypes toward production readiness, working directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers. This is a hybrid role based across Atlanta, Dallas, Nashville, Houston, New Jersey, and Chicago.
Requirements
- 10+ 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, and enterprise grounding.
- Experience with GCP application deployment, IAM / security fundamentals, and enterprise integration.
Nice To Haves
- Experience with Google ADK.
- CES / GECX experience.
- Contact-center / CCaaS integration experience.
- Experience with 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 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits subject to local policy and eligibility.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
