AI Solutions Engineer (.NET Focus)

As an AI Solutions Engineer at Valsoft, you’ll be responsible for the entire solution delivery lifecycle. Your tasks will range from collaborating on requirements with product managers and stakeholders to designing AI-driven .NET applications. You’ll be using your expertise in .NET Core to create scalable back-end solutions and employing AI productivity tools to enhance coding and testing processes. Additionally, you’ll implement DevOps practices to ensure smooth deployment, making this a pivotal role in our innovative tech environment.

To qualify for the AI Solutions Engineer position at Valsoft, candidates should possess solid experience with .NET Core, familiarity with front-end frameworks, and a hands-on understanding of AI/ML tools. Proficiency in at least one relational database and a grasp of cloud platforms like AWS or Azure are also essential. A problem-solving mindset is crucial, enabling you to convert ambiguous challenges into actionable development tasks effectively.

Valsoft promotes a remote-first culture, which means you’ll have the freedom to work from anywhere, especially from the UK or EU. While the majority of your work can be done remotely, we encourage periodic in-person team meetings to foster collaboration and camaraderie. This flexibility allows you to maintain work-life balance while still being an integral part of the team.

At Valsoft, we’re committed to fostering a culture of innovation and continuous learning. As an AI Solutions Engineer, you will have the opportunity to research and experiment with emerging tools and technologies. We encourage you to participate in workshops, training sessions, and collaborative projects that can enhance your skills and keep you at the forefront of AI and .NET development.

As an AI Solutions Engineer at Valsoft, you will be involved in developing AI-powered solutions that aim to shape next-generation software products. You’ll tackle cutting-edge projects that not only leverage AI for enhanced efficiency but also push the boundaries of what’s possible in the software industry. This role allows you to be a part of transformative initiatives that impact our global portfolio of software companies.

Certainly! When discussing your experience with .NET Core in an interview, highlight specific projects where you've developed applications. Talk about the architecture, any challenges you faced, and how you utilized features of .NET Core to enhance performance and scalability. Provide coded examples if possible, showcasing your proficiency.

In your response, emphasize the importance of active listening and clear communication. Provide examples of how you've effectively interacted with stakeholders to understand their needs and translate them into technical specifications. Discuss your approach to managing expectations and ensuring alignment throughout the development process.

When addressing this question, explain the specific AI tools you have used, such as code generation or testing frameworks. Describe how you integrated these tools into your workflow, the benefits they brought to the development process, and any measurable outcomes that resulted from their use.

Be prepared to discuss your familiarity with various relational databases, such as SQL Server or PostgreSQL. Describe projects where you implemented data management strategies, optimized queries, and ensured data integrity. Highlight your understanding of best practices in database performance and reliability.

In your answer, you should cover the key components of DevOps, such as CI/CD pipelines, Infrastructure as Code, and monitoring. Discuss how these practices contribute to more efficient workflows and quality assurance, and provide examples of how you've implemented them in your past roles for smoother deployments.

Discuss the resources and strategies you use to stay informed, such as attending workshops, reading industry blogs, or participating in relevant forums. Mention specific technologies you've been researching recently and how you plan to integrate new knowledge into your work at Valsoft.

Select a specific project where you faced significant challenges. Outline the situation, the actions you took to resolve it, and the result. Focus on showcasing your problem-solving skills and ability to adapt under pressure, which are key traits for an AI Solutions Engineer.

Explain your coding standards, the importance of code reviews, and how you utilize automated testing to verify your software's integrity. Highlight your strategies for writing clean, maintainable code and the tools you use to keep quality checks in place.

Describe how you work with cross-functional teams, such as product managers and designers, to deliver solutions effectively. Emphasize your communication techniques and how you create a collaborative environment that promotes innovation and timely feedback.

Take this opportunity to convey your passion for AI and software development, as well as your admiration for Valsoft's mission. Discuss how your skills align with the role and express your enthusiasm for being part of a company that values innovation and the growth of vertical market software companies.