At a Glance
- Tasks: Build and deploy AI-powered features for a large-scale SaaS platform.
- Company: Innovative tech company focused on AI solutions.
- Benefits: Up to £85,000 salary, fully remote work, and career growth opportunities.
- Other info: Collaborative environment with a focus on emerging technologies.
- Why this job: Join a hands-on role to experiment with AI and make a real impact.
- Qualifications: Experience with LLMs, backend development, and a passion for AI experimentation.
The predicted salary is between 76500 - 93500 £ per year.
AI Engineer
Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.
Salary
Location
Fully remote – UK
The Role
We’re looking for an AI Engineer to build and deliver AI-powered features for a large-scale enterprise Saa S platform.
You’ll work closely with Product, Design and Engineering to turn ideas into reliable, production-ready solutions that improve the user experience.
This is a hands-on role for someone who enjoys experimenting with AI, building prototypes and taking them through to production.
Key Responsibilities
- Build and deploy AI-powered features from prototype to production.
- Develop LLM integrations, agents, tool use and orchestration workflows.
- Build and maintain scalable backend services and APIs.
- Work with Product and Engineering to identify meaningful AI opportunities.
- Contribute to AI development practices, internal tooling and technical decisions.
Essential Skills
- Hands-on experience building applications with LLMs, using tools such as Open AI, Anthropic, Lang Chain or Llama Index.
- Strong backend development skills, ideally with
Type Script and Node. js .
- Full-stack experience, with some familiarity with React.
- Experience with REST APIs, asynchronous programming and databases.
- Understanding of software testing, deployment and production-ready development.
- A practical, hands-on approach to AI experimentation and AI-assisted coding.
Desirable Experience
- Model Context Protocol ( MCP ) and AI agents.
- AWS, particularly Lambda, SQS/SNS, Bedrock or S3.
- Vector databases, embeddings and retrieval-augmented generation (RAG).
- Prompt engineering and LLM evaluation.
- Docker, CI/CD and multi-tenant Saa S platforms.
- AI safety, governance and responsible AI practices.
- Interested in building practical AI solutions that make a real difference? xsabvtc
We’re keen to hear from engineers who enjoy experimenting with emerging technologies and turning them into useful, scalable products.
...
AI Engineer employer: Ronald James Careers
As a Principal Engineer at our Newcastle upon Tyne location, you will join a forward-thinking team dedicated to innovation in high-performance trading platforms. We pride ourselves on a collaborative work culture that fosters continuous learning and professional growth, offering competitive salaries, flexible working arrangements, and comprehensive benefits including private medical insurance and a pension scheme. With opportunities to lead significant architectural initiatives and mentor fellow engineers, you'll play a pivotal role in shaping the future of our technology while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 Ronald James Careers 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 Ronald James Careers.
✨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 Ronald James Careers.
✨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 Ronald James Careers 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 Engineer
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 Ronald James Careers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ronald James Careers 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 Ronald James Careers
✨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 Ronald James Careers 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.
