GECX AI Forward Deployed Engineer - Software Engineer
About The Position
This experienced software engineering role focuses on designing, building, deploying, and supporting production-grade conversational and agentic AI applications. The engineer works with Python, APIs, JSON, Gemini, Vertex AI, Google ADK, and relevant agent frameworks to develop agent workflows, enterprise-grounding and retrieval solutions, and integrations with customer systems. The role also includes full-stack development, security implementation, deployment on GCP, and production evaluation and observability. The engineer works directly with customer engineering teams to prototype solutions, troubleshoot implementations, reproduce issues, and resolve technical blockers. This is a hybrid role based across Atlanta, Dallas, Nashville, Houston, New Jersey, or Chicago. The position is intended for a senior candidate with 6+ years of relevant experience. The posted base compensation range is $76,730–$150,800. The actual offer may vary based on factors including location, education, qualifications, certifications, experience, skills, seniority, performance, market and business considerations, and internal pay equity. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers a benefits package to regular, full-time employees, subject to local policy and eligibility.
Requirements
- 6+ years of relevant experience.
- Strong hands-on Python and software engineering experience.
- Good experience in Gemini/Generative AI application development, Vertex AI, and agentic AI architectures.
- Solid exposure to REST APIs and JSON.
- Experience in RAG, embeddings, or enterprise grounding.
- Experience with GCP application deployment, IAM/security fundamentals, and enterprise integration.
Nice To Haves
- Experience working with Google ADK.
- CES/GECX experience.
- Contact-center or CCaaS integration experience.
- Multi-agent architectures.
- MCP and 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 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 develop validated prototypes toward production readiness.
- Work directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers.
Benefits
- Paid time off, with vacation of 12–25 days depending on employee grade and policy.
- Company-paid holidays.
- Personal days.
- Sick leave.
- Medical coverage.
- Dental coverage.
- Vision coverage.
- Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
- Life insurance.
- 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
