We're fast learners, hard workers, natural collaborators... and we Make Modern Happen! Our ambition is to unlock the potential of our digital world so that organisations everywhere can innovate and thrive securely. We aim to achieve this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together. If you share our vision, join us!
Right now, we are looking for a Junior AI Engineer to integrate our talent team.
Your responsibilities include:
- Design, develop, and maintain AI-powered applications, agents, and automation solutions.
- Build and enhance AI agents that support Software Development Lifecycle (SDLC) processes, improving productivity and operational efficiency.
- Develop integrations with enterprise platforms such as Jira, Confluence, GitHub, and other engineering tools.
- Create and optimize AI-driven solutions for requirements management, test automation, and software delivery processes.
- Collaborate with Agile, DevOps, Cloud, and Architecture teams to deliver scalable and reliable solutions.
- Support the migration, maintenance, and continuous improvement of AI products and cloud-based integrations.
- Troubleshoot, debug, and enhance existing AI applications, ensuring high availability and performance.
- Contribute to technical discussions, solution design, and best practices related to AI adoption and software engineering.
- Participate in code reviews, testing activities, and CI/CD processes to ensure solution quality.
We value:
- Experience building enterprise AI agents or agentic workflows.
- Knowledge of Generative AI frameworks such as LangChain, Semantic Kernel, AutoGen, or similar.
- Experience with GitHub Copilot, GitHub Actions, and AI-powered developer productivity tools.
- Exposure to Azure, AWS, or Google Cloud platforms.
- Experience with DevOps practices, CI/CD pipelines, and automation.
- Knowledge of automated testing frameworks such as Playwright.
- Experience developing custom applications or integrations for Jira and Confluence.
- Understanding of software architecture principles and engineering governance.
- Exposure to Machine Learning frameworks such as TensorFlow, Scikit-learn, or PyTorch.
- Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Workplace:
Lisbon - Hybrid
Claranet, Make modern happen!
A candidatura é feita diretamente no site da empresa — sem intermediários, sem black boxes.
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