Senior AI Engineer
Capgemini
- Location
- Remote (Bogota, RAP (Especial) Central)
- Employment
- Full-time
- Level
- Senior Level
About the role
Capgemini Engineering seeks a Senior AI Engineer to design, develop, and deploy Generative AI solutions, including LLM-based applications and multi-agent systems. The role involves building RAG architectures and integrating AI with enterprise platforms to drive digital transformation and innovation.
Skills
Perks
- Remote Work
Full job details
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Key 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 (Retrieval-Augmented Generation) 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 to ensure performance, accuracy, and reliability.
- Implement Responsible AI, governance, security, and observability best practices.
- Collaborate with Data Engineers, Data Scientists, and Product teams to operationalize AI solutions.
Technical Requirements
- Strong proficiency in Python and API development.
- Experience building applications with Large Language Models (LLMs) 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, including Git, CI/CD, testing, and cloud-native architectures.
- Knowledge of AI governance, security, privacy, and Responsible AI principles.
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.