Senior AI Engineer - Conversational & Agentic AI (Hybrid)

Capgemini; Houston (TX); Hybrid; USD 89,000 - 166,000; Full time

Benefits offered by this job

401(k)

Medical, dental, vision

Paid time off

Job summary

Capgemini, a global technology leader, is seeking an experienced software professional to design and build production-grade conversational and Agentic AI applications. You will work hands-on in Python, build APIs, and implement modern software engineering practices across Gemini, Vertex AI, and enterprise integrations.

The role emphasizes RAG, embedding strategies, and secure IAM with complex integrations to CRM and backend systems, delivering scalable AI solutions in a hybrid U.S. environment.

Qualifications

• Senior candidate with 10 plus years of relevant experience.
• Strong hands-on Python/software engineering.
• Good experience in Gemini / Generative AI application development, Vertex AI, Agentic AI architectures.
• Solid exposure in REST APIs / JSON.
• Experience in RAG / embeddings / enterprise grounding.
• Good in GCP application deployment, IAM / security fundamentals, Enterprise integration.
• Experience working with Google ADK, CES / GECX experience, Contact-center / CCaaS integration, Multi-agent architectures, MCP / A2AAgent evaluation and observability.
• Experience in Streaming / real-time APIs, Production conversational AI, Telephony integrations.

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 the customer solution.
• 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.

Skills

Python

Gemini

Generative AI

Vertex AI

REST APIs

GCP IAM

Multi-agent architectures

Streaming APIs

Telephony integrations

Tools

Google ADK

CES / GECX

CCaaS integration

MCP / A2AAgent

Job description

Capgemini, a global technology leader, is seeking an experienced software professional to design and build production-grade conversational and Agentic AI applications. You will work hands-on in Python, build APIs, and implement modern software engineering practices across Gemini, Vertex AI, and enterprise integrations.

The role emphasizes RAG, embedding strategies, and secure IAM with complex integrations to CRM and backend systems, delivering scalable AI solutions in a hybrid U.S. environment.