At a Glance
- Tasks: Design and build production AI applications that deliver real value.
- Company: Award-winning London SaaS tech company focused on AI innovation.
- Benefits: Up to £120,000 salary, bonus, private healthcare, and hybrid working.
- Other info: High ownership and autonomy in a modern engineering environment.
- Why this job: Join a collaborative team and shape the future of AI-powered software.
- Qualifications: 5 years of software engineering experience with a focus on AI delivery.
The predicted salary is between 80000 - 98000 £ per year.
We're working with an award-winning London SaaS technology company that's making AI central to how it builds software. They're looking to hire two AI Engineers to join a newly formed product team building production-grade AI applications from the ground up. This is a genuinely hands-on engineering role for people who have already delivered commercial AI systems - not research projects or side projects. You'll join a high-trust environment where you'll own products end-to-end, move quickly, and help shape the future of AI-powered software.
The Role
You'll be responsible for designing, building and shipping production AI products that deliver measurable value to customers. You'll:
- Build and deploy production AI applications and autonomous agents
- Own projects from system design through to deployment and iteration
- Work with LLM APIs, agent frameworks and RAG architectures
- Use modern AI-assisted and agentic development workflows
- Design scalable, cloud-native systems (AWS)
- Make architectural decisions and drive engineering best practice
- Collaborate closely with product and engineering leadership to deliver new AI capabilities
What They're Looking For
This role is aimed at strong software engineers who have moved into AI, rather than researchers. You'll ideally have:
- 5 years of commercial software engineering experience
- A strong engineering background with excellent software design and architecture skills
- Experience shipping production AI or LLM-powered products in a commercial environment
- Experience with LLM APIs, orchestration frameworks, AI agents and/or RAG
- Experience building cloud-native applications (AWS preferred)
- A product mindset and the ability to balance speed with engineering quality
- Excellent communication skills and experience working directly with product stakeholders
- Financial services experience is a bonus but not required.
Why Join?
- Build AI products that go into production - not internal demos or prototypes
- Join an organisation investing heavily in AI across its engineering function
- High levels of ownership, autonomy and technical influence
- Modern engineering environment embracing AI-native development practices
- Small, collaborative team with the opportunity to shape products from day one
- Up to £120,000 salary, discretionary bonus, private healthcare, pension and hybrid working (just 1 day in the office every two weeks).
If you're an experienced software engineer with commercial AI delivery experience and want to help build the next generation of AI-native products, I'd be keen to speak with you.
Locations
Artificial Intelligence Engineer in City of London, London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join an award-winning London SaaS technology company that places AI at the heart of its software development. With a strong focus on employee autonomy and collaboration, you'll have the opportunity to shape innovative AI products in a high-trust environment, while enjoying competitive benefits including a generous salary, discretionary bonus, private healthcare, and a flexible hybrid working model. This is an excellent employer for those looking to grow their careers in a cutting-edge field, surrounded by a supportive team dedicated to pushing the boundaries of AI technology.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in City of London, London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Artificial Intelligence Engineer in City of London, 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 SR2 | Socially Responsible Recruitment | Certified B Corporation™.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SR2 | Socially Responsible Recruitment | Certified B Corporation™ 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 SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨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 SR2 | Socially Responsible Recruitment | Certified B Corporation™ 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.
