Mid Level AI Engineer at Quest Software

Cork, Munster, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Python, C#/.NET, Azure ML, Docker, Kubernetes, CI/CD, MLOps, REST APIs, Microservices, Monitoring, Automated Retraining, Infrastructure-as-Code, Azure OpenAI, Cognitive Services

Industry

Software Development

Description

Overview Come and join Quest Software's Center for Advanced AI Architecture in beautiful Cork, Ireland—our global hub for AI innovation powering enterprise SaaS solutions used by millions worldwide. We’re looking for experienced software engineers who are ready to take full ownership of mission-critical AI infrastructure and deployment systems. Why Cork?Cork offers a vibrant tech community, a high quality of life, and a welcoming culture—all set against the backdrop of Ireland’s stunning landscapes. Whether you're seeking career growth, a fresh start, or a chance to make a global impact from a dynamic European city, Cork is the place to be. As a Mid-Level AI Engineer, you will design and implement AI-powered solutions on Microsoft Azure. You'll take ownership of specific AI system components, work independently on deployment strategies, and collaborate closely with both data scientists and senior engineers to deliver scalable, production-ready AI systems. *You should possess the right to work in Ireland as a citizen of the European Union. Responsibilities -Design and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions) -Build scalable REST APIs and microservices for AI model serving using C#/.NET and Python -Implement monitoring and automated retraining systems for production AI models -Integrate AI solutions with Microsoft enterprise technologies (Entra ID, Microsoft 365) -Optimize model inference performance and deployment costs -Mentor junior team members and contribute to AI best practices Qualifications -Bachelor's degree in Computer Science, Engineering, or related field -5+ years of software engineering experience with AI/ML focus -Strong experience with Python and C#/.NET development -Hands-on experience with Azure ML, containerization (Docker, Kubernetes), and CI/CD -Understanding of machine learning model deployment and MLOps practices Nice to Have: -Experience with Azure OpenAI and Cognitive Services -Knowledge of infrastructure-as-code (Terraform, ARM templates) -Experience with microservices architecture Company Overview Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization. More than 45,000 companies — including 90% of the Fortune 500 — trust Quest to solve their most critical IT challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential. Why Quest At Quest, your work makes an impact. You’ll help organizations get AI-ready while building your career with a global team of innovators. We offer: Competitive pay, annual bonuses, and top-performer recognition. Comprehensive health, family, and retirement benefits. Flexible work options, generous PTO, and wellness programs. Professional growth through learning platforms, mentorship, and leadership programs. Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council. Come join us. For more information, visit us on the web at Quest Careers | Innovate. Collaborate. Grow. Job seekers should be aware of fraudulent job offers from online scammers and only apply to roles listed on quest.com/careers using our applicant system. Note: We do not use text messaging or third-party messaging apps like Telegram to communicate with applicants, so please exercise caution if you are approached in this way and only interact with people claiming to be Quest employees if they have an email address ending in @quest.com.

Responsibilities

As a Mid-Level AI Engineer, you will design and implement AI-powered solutions on Microsoft Azure. You'll take ownership of specific AI system components and collaborate closely with both data scientists and senior engineers to deliver scalable, production-ready AI systems.