$ cat jobs/ai-engineer-net-azure-ai-imaginary-cloud-4fad7927d7f8.json
AI Engineer (.NET / Azure AI)
If you're passionate about technology and ready for a challenge, join our team of talented individuals and show your technical skills, creativity, and drive for impact. You'll work with the best in the industry in a supportive, happy, and human-centric environment, making seamless technology. That’s why we were recognized as Best Workplace® in Europe (medium companies), Best Quality of Life Company® and the 2nd Best Great Place to Work® in Portugal by Great Place to Work®. See for yourself by checking our Glassdoor reviews. What exciting projects will you have to make an impact and work on? At Imaginary Cloud , our work improves and simplifies people's lives by creating easy and intuitive digital products. Our day-to-day tasks include development, problem-solving, management, and human interaction. Together, we will drive innovation by creating innovative projects for some of the best companies around the world. You'll be able to grow as you engage with multidisciplinary teams, multiple industries, and projects, overcoming the many challenges that will test and build your skills. Here's an overview of the technical skills you'll likely have to embark on our team: 3+ years of working experience in Artificial Intelligence, Machine Learning, or related software engineering roles Academic background in Computer Science, Data science, Artificial Intelligence, or related field Strong professional experiencewith NET/C# (.NET Core, NET 6/8), including building orchestration and backend APls Hands on experience with Azure OpenAl / OpenAl / ChatGPT-class models (GPT-40-level), as well as generative Al for summarisation, extraction, filtering, speech-to-text / transcription pipelines (e.g. , Azure Cognitive Services / Speech); and patterns such as RAG and Al search. Outstanding proficiency in using Agentic AI tools like Cursor IDE and GitHub Copilot to accelerate code development, refactoring, and complex debugging. Excellent understanding of Transformer-based model architectu
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