At a Glance
- Tasks: Build and maintain full stack features, integrating AI models into real products.
- Company: Established international software business with a focus on AI innovation.
- Benefits: Salary up to £80,000, hybrid work, and opportunities for professional growth.
- Other info: Dynamic environment with roles available at various levels.
- Why this job: Join a team making a real impact in AI product development.
- Qualifications: Strong C# and .NET experience, plus genuine AI integration skills.
The predicted salary is between 72000 - 80000 £ per year.
Full time, hybrid, 3 days a week onsite in Hungerford, 2 from home.
True full stack, React front end through C# and .NET APIs to SQL Server and Postgres.
Real LLM integration work, models built into a shipping product rather than AI used to write code.
Local and self-hosted models, guardrails and model security all genuinely valued.
Open to different levels, they are hiring on quality rather than years served.
Salary up to £80,000 depending on experience.
Right to work in the UK required.
ABOUT THE CLIENT: We are supporting a long established international software business with a large UK engineering organisation. They build industry specific software used by tens of thousands of customers across distribution, automotive, retail and rental, and they have been doing it for decades. They are now building out a core AI engineering capability and putting AI into their products at pace.
THE ROLE: Hands on product engineering in a team led by an architect and a team lead, based out of their Hungerford office. You will work across the full stack, React based front end, C# and .NET APIs, SQL Server and Postgres behind it, hosted on Azure or AWS. Alongside that you will be integrating large language models directly into the product.
WHAT THEY MEAN BY AI EXPERIENCE: They are not looking for people whose AI experience is using Claude, Cursor or Copilot to write code faster. They want engineers who have integrated LLMs into a live product or solution. If you have built something where a model is doing real work in front of customers, that is the conversation they want to have.
ON LEVEL: They are open on this. There are seats at engineer, senior and lead level and they will place the right person at the right level rather than working to a fixed job title. Salary goes up to £80,000 for the more senior end.
KEY RESPONSIBILITIES:
- Build and maintain full stack features, front end through API to database.
- Design and implement guardrails around model behaviour and output.
- Work on performance, scalability and security across the platform.
- Contribute to CI/CD pipelines and engineering standards.
- Work closely with the architect, team lead and wider engineering team.
ESSENTIAL EXPERIENCE:
- Strong commercial C# and .NET background.
- React based front end experience, or a close equivalent such as Angular or Next.js.
- SQL Server and Postgres.
- Genuine experience integrating LLMs into a product or solution.
- Cloud experience, Azure or AWS.
- Git based source control, GitHub or Azure DevOps.
- CI/CD, performance and scalability.
- Right to work in the UK.
- Able to be onsite in Hungerford 3 days a week.
DESIRABLE, NOT ESSENTIAL:
- Experience creating or running local or self-hosted LLMs.
- Guardrails, prompt injection defence and securing model outputs.
- Working fluency with AI development harnesses such as Claude, Codex or Cursor.
- Automotive, automotive aftermarket or vehicle rental domain knowledge.
WHAT'S ON OFFER: Salary up to £80,000 depending on experience. Hybrid working, 3 days onsite in Hungerford and 2 from home. Genuine AI product work in an established, profitable business rather than a startup bet.
Artificial Intelligence Engineer in Hungerford employer: Searchability®
Join a dynamic and innovative technology company in the heart of Manchester, where you'll have the opportunity to lead technical innovation on a mature SaaS platform. With a strong emphasis on collaboration, employee development, and a transparent progression framework, this role offers not only competitive pay but also unique benefits like profit sharing and regular team-building activities. Experience a vibrant work culture that prioritises autonomy and continuous improvement, making it an excellent place for passionate engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Hungerford
✨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 Searchability® 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 Searchability®.
✨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 Searchability®.
✨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 Searchability® 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 Artificial Intelligence Engineer in Hungerford
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 Searchability®.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Searchability® 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 Searchability®
✨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 Searchability® 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.
