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 70000 - 90000 £ 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.
- 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.
- 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.
- 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 in London employer: CloudDevs
Join Valsoft as an AI Automation Engineer and be part of a pioneering team that is redefining legacy system modernization through innovative AI-driven solutions. Our collaborative and experimentation-friendly culture fosters high technical depth, offering you the chance to work with cutting-edge technologies while enjoying competitive compensation and ample career advancement opportunities within our global network.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CloudDevs or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CloudDevs.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CloudDevs.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CloudDevs that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Automation Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CloudDevs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CloudDevs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CloudDevs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CloudDevs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
