At a Glance
- Tasks: Develop AI features and collaborate with Product and Design teams in a fully remote role.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Earn £100,000 - £120,000 plus performance bonuses and enjoy remote work flexibility.
- Other info: Dynamic team culture with opportunities for professional growth and development.
- Why this job: Make a real impact by embedding AI thoughtfully in a B2B platform.
- Qualifications: Experience with AI integration, TypeScript, Node.js, and PostgreSQL required.
We’re looking for a number of “hands‑on” Senior AI Software Engineers who will write production code every day, partner closely with Product and Design, and play a key role in defining how AI is embedded safely, reliably, and thoughtfully across a B2B platform.
These are really exciting opportunities for Senior AI Software Engineers that have worked in Scale‑Up environments and are fully experienced working for B2B organisations.
These Senior AI Software Engineering roles are paying between £100,000 - £120,000 (depending on experience level), as well as a performance related Annual Bonus. These opportunities are working on a Fully Remote basis. That said, these positions are based in London and from time to time candidates will be required to visit the London Office.
The successful Senior AI Software Engineers will be building AI-powered product features across the full stack using TypeScript, Node.js, PostgreSQL and React, whilst deploying on Azure. The Company is using Claude Code as a core development tool to accelerate delivery while maintaining high standards for code quality, testing, and security.
You need to be able to design and implement production integrations with the Anthropic Claude API, including prompt engineering, tool calling, structured outputs, streaming responses, and error handling. In addition, you’ll design performant PostgreSQL schemas and queries that support AI workflows, conversation history, and multi-tenant product experiences.
Furthermore, the role requires you to create automated tests and evaluation frameworks for AI-powered features, ensuring quality, safety, and predictable behaviour in production. And contribute to shared libraries, internal best practices, and AI engineering patterns that help the team move faster and build smarter.
We’re seeking candidates that have the following skills / experience:
- Experience building or integrating AI/LLM-powered features in production.
- Experience with TypeScript/Node.js and Python.
- Hands‑on experience integrating the Anthropic Claude API or another leading LLM platform in a production environment.
- Deep understanding of PostgreSQL, including schema design, query optimisation, migrations, and multi‑tenant architectures.
- Experience building and deploying applications on Azure and familiarity with Azure‑managed services.
- Practical understanding of AI safety challenges such as hallucinations, prompt injection, and protecting sensitive data in model contexts.
- Experience writing evaluations and automated tests for AI features and using data to improve model performance.
Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to create inclusive working environments for all our clients.
Artificial Intelligence Engineer employer: Spencer Scott - Technology Recruitment
At Spencer Scott Ltd, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer hybrid working options, competitive benefits, and ample opportunities for professional growth within the HealthTech sector, making it a rewarding environment for those passionate about data engineering and impactful healthcare solutions.
Contact Details:
Spencer Scott - Technology Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
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We think you need these skills to ace Artificial Intelligence 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 Spencer Scott - Technology Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Spencer Scott - Technology Recruitment 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 Spencer Scott - Technology Recruitment
✨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 Spencer Scott - Technology Recruitment 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.