Cloud Native .NET Engineer with AI Integration Focus

Remote Full time
Posted Jul 25, 2025
🔍 Find Similar Jobs

Job Details

Employment Type

Full time

Salary

30.00 USD

Valid Through

Aug 24, 2025

Job Description

We seek a highly skilled . NET Engineer with cloud expertise and a strong focus on integrating AI capabilities into projects. The ideal candidate will possess robust proficiency in . NET, coupled with a deep understanding of at least one major cloud provider. Additionally, familiarity with GenAI, Large Language Models (LLM) and Retrieval Augmented Generation (RAG) is essential for seamlessly integrating AI capabilities. Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office. ResponsibilitiesFacilitate development and deployment of cloud-native solutions, highlighting AI integration in our projectArchitect and launch AI-driven applications, leveraging .

NET framework (5/6/8)Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming projects to enhance language understanding and generation capabilitiesTeam up with various cross-functional teams to comprehend project objectives and convert them into AI-driven technical resolutionsImplement AI-based features and functionalities, utilizing cloud-native architectures and industry-standard practicesWrite maintainable and well-documented code, adhering to coding standards and best practicesStay updated with the latest advancements in .

NET, cloud computing, AI, and Cloud Native architectures and proactively suggest innovative solutions to enhance our AI capabilitiescapabilitiesRequirementsProven expertise in C# programming language, with significant experience in AI integrationProficiency in cloud computing with hands-on experience in major cloud platforms such as Azure, AWS or Google Cloud PlatformFamiliarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG)Excellent problem-solving abilities and the capability to effectively collaborate within a team settingSuperior communication skills and the competence to seamlessly explain complex technical concepts to non-technical stakeholdersNice to haveKnowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservicesWe offerEngineering Heritage:

Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years. Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies. World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact. Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices. GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys. Entrepreneurial Culture:

If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life. Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga. Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more. Salary range €3. 4K-€5K gross, based on your experience and interview results. About EPAMEPAM is a leading global provider of digital platform engineering and development services.

For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption. With offices in 55+ countries, EPAM has grown in Latvia to over 888+ talented innovators in 3 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.

Apply Now

You'll be redirected to the company's application portal

Application Success Tips

Resume Tailoring

Customize your resume to highlight skills and experiences relevant to this specific position.

Company Research

Learn about the company's mission, values, products, and recent news before your interview.

Profile Optimization

Ensure your LinkedIn profile is complete, professional, and matches your resume information.

Interview Preparation

Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.

Back to Job Listings