At a Glance
- Tasks: Design and implement AI-driven tools to automate legacy system migrations.
- Company: Join a pioneering AI-first modernization team at Valsoft.
- Benefits: Competitive pay, career growth, and a collaborative culture.
- Other info: Work in a dynamic environment with opportunities for experimentation.
- Why this job: Shape the future of automation with cutting-edge AI technologies.
- Qualifications: Experience in modernising legacy systems and integrating AI tools.
The predicted salary is between 60000 - 80000 € per year.
As a Developer in our AI Modernization Team, you will work at the intersection of software engineering and AI tooling, building automated solutions that transform how legacy systems are migrated to modern platforms. You will design and implement AI-driven tools using LangChain, Semantic Kernel, Devin, and other emerging technologies to automate code analysis, transformation, testing, and deployment. This is a unique opportunity to contribute to a cutting-edge methodology that scales modernization efforts across diverse technology stacks and businesses. You’ll be part of a high-impact, forward‑thinking team led by the Director of Technology, bringing together AI Engineers, a Product Manager, and handpicked developers from across our portfolio. Together, the team is focused on redefining how we modernize legacy systems through AI‑first approaches.
Key Responsibilities
- Design, implement, and maintain AI‑driven tooling to automate legacy system migrations (e.g., monoliths, microservices, .NET Framework, .NET Core, AngularJS, modern frameworks).
- Collaborate with AI Engineers and the Head of Development to integrate Lang Chain and Semantic Kernel agents into workflows.
- Use platforms like Devin to orchestrate repetitive development tasks.
- Build modular, reusable utilities for parsing, transforming, and refactoring frontend, backend, and database code.
- Run proof of concepts for AI automation in areas such as test generation, API modernization, schema translation, and dependency analysis.
- Contribute to evolving the team’s sophisticated migration methodology, enhancing automation coverage and robustness.
- Adapt to diverse legacy stacks, including proprietary or niche technologies.
- Be highly autonomous and proactive in identifying opportunities for automation.
- Communicate clearly and collaborate across cross‑functional technical teams.
- Willing to learn rapidly evolving AI tools and frameworks.
- Detail‑oriented with a mindset for quality and maintainability, even when automating.
Requirements
- Proven experience modernizing or migrating legacy systems (e.g., WinForms, Web Forms, VB.NET, classic ASP, SQL Server, Oracle).
- Strong command of code refactoring, dependency mapping, and system decomposition best practices.
- Hands‑on experience building or integrating AI tools into development workflows.
- Familiarity with Lang Chain, Semantic Kernel, Devin, or similar frameworks/agents.
Additional or Preferred Qualifications
- Background in the .NET ecosystem (ASP.NET Core, Entity Framework, MS Build).
- Familiarity with cloud platforms (Azure, AWS, GCP) and DevOps tools (Terraform, Docker, GitHub Actions).
- Exposure to AI‑integrated IDEs (Cursor, Devin).
- Comfort with scripting in Python, TypeScript, or PowerShell.
Employee Perks
- Be part of a pioneering AI‑first modernization team working at portfolio level.
- Opportunity to shape how we automate modernization at scale using cutting‑edge AI.
- Work in a collaborative, experimentation‑friendly culture with high technical depth.
- Competitive compensation and career advancement opportunities within Valsoft’s global network.
AI Automation Engineer employer: CloudDevs
Join our pioneering AI Modernization Team, where you'll be at the forefront of transforming legacy systems with cutting-edge AI tools. We foster a collaborative and experimentation-friendly culture that encourages innovation and personal growth, offering competitive compensation and ample career advancement opportunities within Valsoft's global network. This role not only allows you to work with advanced technologies but also empowers you to shape the future of automation at scale.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who are already working with modernisation projects. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any work related to AI tooling or legacy system migrations. This could be anything from GitHub repos to case studies. When you apply through our website, make sure to highlight these examples to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of tools like LangChain and Semantic Kernel. Be ready to discuss how you've used these technologies in past projects or how you would approach specific challenges in modernising legacy systems. Confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. Use this opportunity to reiterate your enthusiasm for the role and mention something specific from the interview that excited you about the team or project.
We think you need these skills to ace AI Automation Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with modernising legacy systems and working with AI tools. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Modernization Team and how you can contribute. Be specific about your experience with tools like LangChain and Semantic Kernel.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in past projects, especially those involving automation or legacy system migrations. We love seeing candidates who are proactive and detail-oriented!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our AI-first team!
How to prepare for a job interview at CloudDevs
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain and Semantic Kernel. Brush up on your experience with legacy systems and be ready to discuss specific projects where you've modernised or migrated systems.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex automation challenges in the past. Think about situations where you identified opportunities for automation and how you implemented solutions that improved efficiency.
✨Collaboration is Key
Since this role involves working closely with AI Engineers and other developers, be ready to discuss your collaborative experiences. Highlight any cross-functional projects you've been part of and how you contributed to team success.
✨Stay Curious and Adaptable
The tech landscape is always changing, especially in AI. Show your enthusiasm for learning new tools and frameworks. Share instances where you quickly adapted to new technologies or methodologies, demonstrating your proactive approach to professional growth.
