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AI Solutions Engineer

Job Title: AI Solutions Engineer

Company: Valsoft

Location: Ireland - Remote with occasional face-to-face meetings

Type: Full-Time

Reporting to: Chief Technology Officer

About Valsoft

Valsoft specialises in acquiring and growing vertical market software companies. Our mission is to provide a permanent home for software businesses, preserving the legacy of their founders while investing in the long-term growth and success of the companies we acquire. We operate and manage a global portfolio of wholly owned software companies, delivering mission-critical solutions across multiple verticals. By implementing industry best practices, Valsoft ensures a time-sensitive integration process and operates a decentralised model, fostering rapid growth through reinvestment in its portfolio.

Our motto is “Be Humble, Stay Hungry”

About the Role

We are seeking an AI Solutions Engineer who will be responsible for the full lifecycle of software solution delivery, from working closely with product managers and customers on requirements, to leveraging AI productivity tools for rapid development and deployment. You will be hands-on across the entire stack—front-end, back-end, and database—and have a strong grasp of DevOps practices to deliver secure, cost-effective solutions in the Cloud. 

You will have the opportunity to work with the CTO and other AI Developers across multiple businesses within the group, bringing your enthusiasm and technical ability to numerous software products across a wide variety of vertical markets.

 

Key Responsibilities:

Requirements Definition & Stakeholder Collaboration

  • Engage with product managers, customers, and cross-functional teams to understand business needs.
  • Translate stakeholder requirements into actionable technical tasks and product milestones.

AI-Driven Development

  • Use AI-based productivity tools (e.g., code generation, automated testing frameworks) to accelerate solution delivery.
  • Stay updated on the latest AI techniques and tools, integrating them into workflows to optimize speed, quality, and innovation.

Full-Stack Implementation

You will be required to develop and maintain effective front-end interfaces and back-end services, ensuring responsiveness and scalability.

As such, you should have demonstrable experience in the design and build of high-quality software solutions using at least one of the following tech stacks:

  • .NET (Core/Maui)
  • JavaScript/TypeScript (e.g., React, Node.js, Vue.js, Nuxt.js)
  • Java

Database Expertise

  • Work with at least one of the following database technologies:
  • Microsoft SQL Server, Oracle, PostgreSQL, or MariaDB (Preference for open-source databases)
  • Optimize data storage and retrieval, ensuring performance, availability, and data integrity.
  • A good understanding of Stored Procedures, SQL Functions and Views

DevOps & Cloud Deployment

  • Implement DevOps best practices (CI/CD pipelines, IaC, monitoring) to streamline the path to production.
  • Deploy software in a cost-effective and secure manner, leveraging the most suitable Cloud services.

Technical Leadership & Continuous Improvement

  • Serve as a subject matter expert on AI-driven development for internal teams and customers.
  • Contribute to a culture of innovation by researching emerging tools, tech, and practices to improve efficiency and product quality.

 

About You:

  • Demonstrable Experience in developing and delivery of software products, whether from an software engineering, financial and sales or business background. Ideally, you will have worked in a variety of capacities during your career.
  • Full-Stack Development: Proficient in at least one of the named technologies (.NET, JavaScript/TypeScript frameworks, or Java).
  • AI/ML Tools Familiarity: Demonstrable experience using AI-driven tools (e.g., code auto-generation, advanced testing frameworks) to expedite software development cycles.
  • Database Management: Skilled in designing schemas, writing complex queries, and tuning performance in at least one major relational database.
  • Cloud & DevOps Knowledge: Understanding of modern cloud platforms (AWS, Azure, GCP) and ability to manage CI/CD workflows, containerization (Docker, Kubernetes), and security best practices.
  • Customer-Facing Experience: Comfortable discussing technical and business requirements with non-technical stakeholders, gathering detailed specifications, and presenting solutions.
  • Problem-Solving Mindset: You value action over procrastination, and can tackle ambiguous challenges, produce rapid prototypes, and iterate based on user feedback.

Preferred Qualifications

  • Education: Preference towards those holding a university degree in software engineering, business or finance, but we also welcome anyone who is self-taught.
  • Open-Source Advocacy: Preference towards open-source technologies, with a track record of selecting the best tool for the job.
  • End-to-End Ownership: Experience taking a product feature from concept to launch, including gathering feedback, making improvements, and final deployment.
  • Automation & Testing: Familiarity with automated testing frameworks and continuous testing approaches to ensure code quality.
  • Cross-Functional Collaboration: Experience collaborating with product managers, UX designers, or data scientists to deliver holistic solutions.

 

For more information about Valsoft, please visit our website at www.valsoftcorp.com.

We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted.

 

#ValsoftG1

 

 

Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About AI Solutions Engineer, Valsoft Corporation

As an AI Solutions Engineer at Valsoft, you'll play a pivotal role in our mission to deliver innovative software solutions that drive success across various vertical markets. From the comfort of your remote workspace in Ireland, you'll collaborate closely with product managers and customers to gather requirements and transform them into robust software solutions. You'll leverage cutting-edge AI productivity tools to streamline the development process, ensuring rapid deployment without compromising quality. Your hands-on experience with front-end and back-end technologies, along with your solid understanding of DevOps practices, will be essential as you implement secure, scalable solutions in the cloud. You'll team up with our CTO and a talented group of AI Developers, allowing you to tap into a wealth of knowledge and experience as you contribute to a diverse portfolio of software products. At Valsoft, our collaborative environment encourages growth and innovation, so you'll have the freedom to explore new AI techniques and tools to maximize your work's efficiency and impact. If you're ready to take ownership of the full software lifecycle and continuously enhance your skills, we can't wait to welcome you to our dynamic team!

Frequently Asked Questions (FAQs) for AI Solutions Engineer Role at Valsoft Corporation
What are the key responsibilities of an AI Solutions Engineer at Valsoft?

As an AI Solutions Engineer at Valsoft, you will play an essential role in delivering software solutions by working closely with product managers and customers to define requirements, leveraging AI tools for development, and implementing front-end and back-end services. You will collaborate with cross-functional teams to ensure that solutions are not only innovative but also secure and cost-effective.

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What qualifications are required to be an AI Solutions Engineer at Valsoft?

To excel as an AI Solutions Engineer at Valsoft, candidates should demonstrate experience in software development with a strong understanding of full-stack technologies such as .NET, JavaScript/TypeScript frameworks, or Java. Familiarity with AI-driven tools, database management, and cloud platforms is also crucial for the role, in addition to excellent communication skills for interacting with non-technical stakeholders.

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How does Valsoft's culture influence the role of an AI Solutions Engineer?

At Valsoft, we believe in fostering a culture of innovation and collaboration, which directly enhances the role of an AI Solutions Engineer. You will be encouraged to continuously improve your skills, research emerging tools, and share knowledge with your team. Our motto, 'Be Humble, Stay Hungry,' reflects our commitment to personal and professional growth among all employees.

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What technologies will an AI Solutions Engineer at Valsoft work with?

An AI Solutions Engineer at Valsoft will work with a variety of technologies, including front-end frameworks like React or Vue.js, back-end solutions in .NET or Java, and database technologies such as Microsoft SQL Server, Oracle, or PostgreSQL. Additionally, familiarity with cloud services including AWS and Azure, and DevOps practices will also be part of your toolkit.

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What opportunities for career growth are available for AI Solutions Engineers at Valsoft?

Valsoft is committed to the career growth and professional development of its employees, including AI Solutions Engineers. With a diverse portfolio of software products and a culture that values innovation, you’ll have numerous opportunities to take on new challenges, learn new technologies, and collaborate with different teams, setting you on a path for a fulfilling career.

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Common Interview Questions for AI Solutions Engineer
Can you explain your experience with full-stack development as an AI Solutions Engineer?

When addressing your full-stack development experience during the interview, detail specific projects where you worked on both front-end and back-end technologies. Highlight the frameworks like React or .NET you used, and discuss how you ensured responsiveness and scalability within your solutions.

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How do you utilize AI-driven tools in software development?

Discuss your familiarity with AI-driven tools that expedite coding, such as code generators or automated testing frameworks. Provide examples of when you've used these tools to enhance productivity, and explain how they contributed to the overall success of your projects.

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What is your approach to gathering requirements from stakeholders?

Explain your proactive communication style, emphasizing the importance of asking clarifying questions. Mention techniques such as stakeholder interviews or workshops that you've used to gather and translate their needs into actionable tasks for development.

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Describe your experience with cloud deployment and DevOps practices.

Share your knowledge of cloud platforms like AWS or Azure and your experience implementing CI/CD pipelines. Explain how you've utilized these tools to streamline deployments and ensure high-quality code delivery, mentioning specific tools or technologies you’ve worked with.

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How do you stay updated with the latest developments in AI technology?

Mention any resources you follow, such as online courses, tech blogs, or community forums that keep you informed about the latest AI advancements. Share examples of how you've integrated new tools or techniques into your workflows to improve your product development.

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Can you give an example of a difficult technical challenge you've faced?

Provide a detailed example of a challenging project, explaining the problem, your approach to solving it, the tools you used, and the outcome. This shows your problem-solving mindset and your ability to handle pressure.

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How do you ensure quality in your software solutions?

Discuss your experience with testing methodologies, including manual and automated testing. Highlight specific strategies you've implemented to maintain high-quality standards throughout the development process, and how you handle feedback and iterations.

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What role does collaboration play in your work as an AI Solutions Engineer?

Highlight your ability to work within a cross-functional team, providing an example of successful collaboration with product managers or UX designers. Show how combining diverse perspectives leads to more innovative solutions.

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Have you ever taken a product feature from concept to launch? Share your experience.

Outline a specific project where you were responsible for a feature's development lifecycle. Discuss your role in the initial concept, gathering feedback, making improvements, and overseeing the final deployment, showcasing your end-to-end ownership.

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What qualities do you believe are most important for an AI Solutions Engineer?

Discuss qualities such as problem-solving abilities, adaptability to new technologies, and strong communication skills. Illustrate why these strengths are critical for success as an AI Solutions Engineer at Valsoft.

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Founded in 2011, Valsoft is a vertical software business that provides mission-critical solutions in their respective niche or market.Velsoft is located in Canada

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Full-time, remote
DATE POSTED
March 13, 2025

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