2 months ago
Aguascalientes, MexicoMid Level
Responsibilities
- Develop scalable, production-grade generative AI applications using LLMs, embeddings, and RAG architectures.
- Build and deploy chatbots, virtual assistants, and conversational workflows using Dialogflow CX and Copilot Studio.
- Implement AI workflows with LangChain, LangGraph, vector databases, and orchestration frameworks.
- Optimize models and applications for performance, latency, and cost.
- Deploy and monitor models in production environments and collaborate with product, engineering, and data teams.
Requirements
- Strong programming skills in Python or Node.js.
- Hands-on experience with LLMs, RAG, embeddings, and vector databases.
- Experience with cloud deployment and MLOps fundamentals.
- Familiarity with conversational AI platforms and Dialogflow CX GenAI playbooks.
- Preferred: knowledge of multimodal models, agentic AI, model fine-tuning, LangChain, LangGraph, and orchestration frameworks.
Benefits
- Meaningful projects using technology to address real-world challenges.
- Continuous learning through internal academies, certifications, mentorship, and digital learning platforms.
- Collaborative, diverse, and inclusive work environment.
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.