We're fast learners, hardworkers, natural collaborators... and weMake Modern Happen!
Our ambition is to unlock thepotential of our digital world so that organisations everywhere can innovateand thrive securely. We aim to achieve this goal by bringing together theworld’s most talented people and the most powerful technologies, combining themto address our customers' challenges and to build something stronger together.
Right now, weare looking for a Junior AI Engineer to integrate our talent team.
Yourresponsibilities include:
- Design, develop, and maintain AI-poweredapplications, agents, and automation solutions.
- Build and enhance AI agents that support SoftwareDevelopment Lifecycle (SDLC) processes, improving productivity andoperational efficiency.
- Develop integrations with enterprise platformssuch as Jira, Confluence, GitHub, and other engineering tools.
- Create and optimize AI-driven solutions forrequirements management, test automation, and software delivery processes.
- Collaborate with Agile, DevOps, Cloud, andArchitecture teams to deliver scalable and reliable solutions.
- Support the migration, maintenance, andcontinuous improvement of AI products and cloud-based integrations.
- Troubleshoot, debug, and enhance existing AIapplications, ensuring high availability and performance.
- Contribute to technical discussions, solutiondesign, and best practices related to AI adoption and softwareengineering.
- Participate in code reviews, testing activities,and CI/CD processes to ensure solution quality.
Youmust have:
- Around 1 year of professional experience in AIEngineering, Software Engineering, or a related field.
- Experience developing AI-based solutions,automations, or intelligent agents.
- Proficiency in Python and solid softwaredevelopment fundamentals.
- Experience working with LLMs, AI copilots, orAI-assisted development tools.
- Knowledge of software development best practices,testing, and version control (Git).
- Experience working with REST APIs and systemintegrations.
- Familiarity with Agile methodologies andcross-functional collaboration.
- Experience with Jira, Confluence, and modernsoftware engineering environments.
- Understanding of cloud-native applications and AIsolution deployment.
- Strong analytical and problem-solving skills.
- Professional working proficiency in English.
Wevalue:
- Experience building enterprise AI agents oragentic workflows.
- Knowledge of Generative AI frameworks such asLangChain, Semantic Kernel, AutoGen, or similar.
- Experience with GitHub Copilot, GitHub Actions,and AI-powered developer productivity tools.
- Exposure to Azure, AWS, or Google Cloudplatforms.
- Experience with DevOps practices, CI/CDpipelines, and automation.
- Knowledge of automated testing frameworks such asPlaywright.
- Experience developing custom applications orintegrations for Jira and Confluence.
- Understanding of software architecture principlesand engineering governance.
- Exposure to Machine Learning frameworks such asTensorFlow, Scikit-learn, or PyTorch.
- Master's degree in Computer Science, ArtificialIntelligence, Software Engineering, or a related field.