23 hours ago
Remote, Colombia or Bogotá, ColombiaMid Level
Responsibilities
- Develop and deploy multi-agent solutions using Gemini and Agent Builder.
- Design and implement RAG solutions using enterprise data warehouse data and Looker semantic models.
- Integrate AI agents with enterprise APIs, databases, and Google Cloud Platform services.
- Optimize agent performance, orchestration, and user experience for business-critical applications.
- Implement Responsible AI governance, security, monitoring, compliance, and evaluation controls.
Requirements
- Hands-on experience with Gemini, Vertex AI, and Agent Builder.
- Strong proficiency in Python, SQL, and API integration.
- Experience building AI agents, multi-agent systems, and RAG architectures.
- Knowledge of vector databases, embeddings, and semantic search.
- Experience with BigQuery, Cloud Run, Cloud Functions, and other GCP services.
- Familiarity with Looker, semantic layers, and enterprise data warehouse architectures.
- Experience with LangChain, LangGraph, or Google ADK.
- Understanding of Responsible AI, AI governance, security, and model evaluation.
Benefits
- Remote work arrangement.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.
