Artificial Intelligence Engineer

Capgemini Engineering; Bogotá ciudad; On-site; COP 100,440,000 - 167,400,000; Full time

Job summary

Capgemini Engineering seeks talented engineers to design, develop, and deploy AI and GenAI solutions for diverse business needs. You will build and optimize LLM-based applications, AI agents, and multi-agent systems, integrating AI with enterprise data sources and APIs.

You will evaluate and monitor models, ensuring responsible AI practices and secure, observable deployments. The role requires strong Python/API skills, experience with LLMs, and familiarity with AI governance, CI/CD, and

Qualifications

• Proficiency in Python programming and API development.
• Experience with Large Language Models (LLMs) and Generative AI.
• Hands-on experience with AI Agents, Multi-Agent Systems, and RAG architectures.

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.

Skills

Python

API development

LLMs

AI Agents

Multi-Agent Systems

RAG

LangChain

Semantic search

CI/CD

Cloud-native

Security

Responsible AI

Tools

LangGraph

Semantic Kernel

CrewAI

Vector databases

Embeddings

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe 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.

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.