Senior AI Software Engineer in London

Senior AI Software Engineer in London

London Full-Time 65250 - 79750 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build AI platforms and tools, taking projects from concept to production.
  • Company: Join a leading global tech company at the forefront of AI innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on best practices and career advancement.
  • Why this job: Make a real impact in AI engineering and shape the future of technology.
  • Qualifications: 5+ years in software engineering with strong backend skills; AI experience preferred.

The predicted salary is between 65250 - 79750 £ per year.

Neulinx have partnered with a highly successful global technology company to hire a Senior AI Software Engineer into its growing AI Engineering team. This is a hands-on role focused on building the platforms, infrastructure and reusable capabilities that enable AI adoption across both internal teams and customer-facing products.

You’ll work on modern AI engineering challenges including AI agents, MCP, RAG, evaluation frameworks and guardrails, while taking ownership of projects from initial requirements through to deployment and production.

What you’ll be working on:

  • Building reusable AI capabilities, tools, APIs and platforms
  • Developing and maintaining an internal MCP server, securely connecting company data with AI agents
  • Building agentic AI workflows and infrastructure for autonomous and interactive agents
  • Designing AI evaluation frameworks and guardrails to improve reliability and safety
  • Building and optimising RAG systems
  • Taking projects end-to-end, from requirements gathering through development, deployment and operation
  • Working closely with engineering and product teams to accelerate AI adoption across the business
  • Helping establish best practices around AI engineering and productionisation

What we’re looking for:

  • 5+ years’ software engineering experience, with a strong backend/server-side background
  • Experience building scalable, production-grade systems
  • Strong programming skills – Python preferred, although other backend languages are considered
  • Hands-on experience with LLMs and Generative AI
  • Experience with areas such as AI agents, RAG, MCP, evals, AI workflows or agentic frameworks
  • Experience taking software projects from concept through to production
  • Cloud experience across AWS, GCP or Azure
  • Comfortable using modern AI development tools such as Claude Code, Cursor, GitHub Copilot or similar
  • Strong communication skills and the ability to work with both technical and non-technical stakeholders

You don’t need to have spent your entire career working in AI. We’re particularly interested in strong software engineers who have moved into AI engineering and can combine solid engineering fundamentals with practical experience shipping AI-powered products.

The opportunity:

You’ll be joining an established global technology business where AI is becoming a fundamental part of both the product and the wider engineering organisation. Rather than working on isolated proof-of-concepts, you’ll be helping build the AI infrastructure and engineering foundations that other teams will use at scale.

Senior AI Software Engineer in London employer: Neulinx

Neulinx offers an exceptional work environment for Senior AI Software Engineers, fostering a culture of innovation and collaboration within a globally recognised technology firm. Employees benefit from hands-on experience with cutting-edge AI projects, opportunities for professional growth, and a commitment to best practices in AI engineering. Located in a dynamic tech hub, the company provides a unique chance to contribute to impactful AI solutions that drive both internal and customer-facing products.

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Contact Details:

Neulinx Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Software 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 Neulinx 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 Neulinx.

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 Neulinx.

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 Neulinx 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 Senior AI Software Engineer in London

Software Engineering
Backend Development
Python Programming
AI Engineering
LLMs (Large Language Models)
Generative AI
AI Agents

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 Neulinx.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Neulinx 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 Neulinx

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 Neulinx 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.