Artificial Intelligence Engineer

Capgemini; Bogotá; Remote; COP 100,440,000 - 167,400,000; Full time

Job summary

Capgemini Engineering is hiring a skilled AI Engineer to design, develop, and deploy AI and GenAI solutions for business use cases in a global environment. You will build LLM-based applications, AI agents, and RAG architectures, integrating with APIs and data platforms.

We expect strong Python and API development expertise, hands-on work with vector stores, prompt engineering, and AI governance. Join a team of data engineers and product squads delivering innovative, responsible AI solutions at

Qualifications

• Strong proficiency in Python and API development.
• Experience building applications with LLMs and Generative AI.
• Hands-on with AI Agents, Multi-Agent Systems, and RAG architectures.
• Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval.

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, and enterprise platforms.

Skills

Python

API development

LLMs

Generative AI

AI Agents

Multi-Agent Systems

RAG architectures

Vector databases

Embeddings

Semantic search

Knowledge retrieval

Prompt engineering

Model evaluation

AI monitoring

Git

CI/CD

Cloud-native

AI governance

Security

Privacy

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

Job description

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 DescriptionKey ResponsibilitiesDesign, 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 RequirementsStrong 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.#LI-DC10#LI-RemoteCapgemini 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.