1 day ago
Remote, Colombia or Bogotá, ColombiaSenior
Responsibilities
- Design, develop, and deploy AI and GenAI solutions for business use cases.
- Build and optimize LLM-based applications, AI agents, and multi-agent systems.
- Develop RAG solutions using enterprise data sources and knowledge repositories.
- Integrate AI solutions with APIs, databases, business applications, and enterprise platforms.
- Evaluate, fine-tune, and monitor AI models for performance, accuracy, and reliability.
- Implement Responsible AI, governance, security, privacy, and observability practices.
- Collaborate with Data Engineers, Data Scientists, and Product teams to operationalize AI solutions.
Requirements
- Strong proficiency in Python and API development.
- Experience building applications with Large Language Models and Generative AI technologies.
- Hands-on experience with AI agents, multi-agent systems, and RAG architectures.
- Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or similar.
- Familiarity with prompt engineering, model evaluation, and AI application monitoring.
- Understanding of software engineering best practices, Git, CI/CD, testing, and cloud-native architectures.
- Knowledge of AI governance, security, privacy, and Responsible AI principles.
Benefits
- The position is identified as remote.
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.