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For Companies At a Glance
- Tasks: Design and build cutting-edge AI systems that make a real-world impact.
- Company: Join a high-growth, well-funded AI company in Central London.
- Benefits: Competitive salary, bonuses, personal learning budget, and flexible equipment choices.
- Other info: Opportunity for clear progression and to shape the future of AI.
- Why this job: Accelerate your career by solving complex AI problems in a collaborative environment.
- Qualifications: Experience with LLM APIs, strong programming skills, and cloud environments.
The predicted salary is between 70000 - 130000 £ per year.
This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match.
High-growth, well-funded AI business. Via is supporting a rapidly scaling, well-backed AI company in their search for exceptional AI Engineers. This is a rare opportunity to join a business at the forefront of applied AI, building real-world, production-grade systems powered by large language models.
If you’re excited by solving complex problems, working with cutting-edge tooling, and seeing your work deployed at scale, this is the kind of role that will accelerate your career fast.
The Opportunity
You’ll play a key role in designing and deploying sophisticated AI systems used in real-world environments. This is not a research-only role – you’ll be building, shipping, and continuously improving production applications that deliver tangible impact. You’ll work alongside highly capable engineers in a collaborative, fast-moving environment where experimentation, iteration, and innovation are actively encouraged.
What You’ll Be Doing
- Designing and building production-grade AI systems using LLMs
- Developing RAG pipelines, vector search solutions, and agent-based workflows
- Creating robust evaluation frameworks to measure accuracy, reliability, and performance
- Building scalable APIs, services, and data pipelines
- Implementing observability, monitoring, and feedback loops to continuously improve outputs
- Optimising models and prompts for latency, cost, and quality across different providers
What We’re Looking For
- Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations
- Hands-on experience with RAG architectures, vector databases, and prompt engineering
- Experience developing multi-step workflows or agentic systems (frameworks or custom builds)
- Strong programming skills (Python or similar), with experience building production systems
- Solid understanding of cloud environments (AWS, GCP, or Azure)
- Experience with distributed systems, CI/CD, testing, and deployment pipelines
- Strong data handling skills (SQL, pandas) and an understanding of evaluation strategies for AI systems
- Comfortable working in ambiguous environments and iterating on non-deterministic systems
Bonus Experience (Nice to Have)
- AI-assisted development tools (e.g. Copilot, Codex, Claude Code)
- Fine-tuning models and understanding when to use it vs RAG or prompting
- Experience with real-time systems, multimodal AI, or search technologies
- Familiarity with observability tooling and cost optimisation strategies
- Experience in regulated or complex industries (e.g. finance, healthcare, energy)
- Exposure to agent orchestration, tool usage, and guardrails
What’s On Offer
- Highly competitive salary and bonus
- The chance to work on genuinely cutting-edge AI problems
- A collaborative, high-performance engineering culture
- Strong financial backing and ambitious growth plans
- Clear progression opportunities as the company scales
- Personal learning budget to accelerate your development
- Freedom to choose your own equipment and setup
Why Apply?
This is an opportunity to move beyond theory and into real-world AI impact – building systems that are used, tested, and scaled. You’ll be joining at a pivotal stage, where your work will directly shape both the product and the future of the business. Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via.
AI Engineer in London employer: Via Match Limited
Contact Detail:
Via Match Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Get your profile sorted on the Via platform as soon as you apply. This is your chance to showcase your skills and experience without revealing your identity until you're matched. Make it shine!
✨Tip Number 2
Network like a pro! Reach out to current employees or alumni from your university who work in AI. They can give you insider tips and might even refer you, which can really boost your chances.
✨Tip Number 3
Prepare for those interviews by brushing up on your technical skills and understanding of LLMs. Practice explaining complex concepts simply – you want to impress them with your knowledge and communication skills.
✨Tip Number 4
Don’t just wait for job offers to come to you. Keep applying through our website and explore other roles that match your skills. The more you put yourself out there, the better your chances of landing that dream job!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLM APIs, RAG architectures, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and explain why you're excited about this opportunity. Let us know how you can contribute to our team and the innovative work we're doing.
Showcase Your Projects: If you've built any AI systems or applications, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills and creativity.
Apply Through Our Website: Don't forget to apply through our website! This ensures your application gets to us directly and helps streamline the process. Plus, you'll be creating your profile on the Via platform, which keeps things anonymous until we match!
How to prepare for a job interview at Via Match Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and their applications. Be ready to discuss your hands-on experience with LLM APIs, RAG architectures, and vector databases. This is your chance to show off your technical skills and how they relate to the role!
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects and how you tackled them. Highlight your experience in building production-grade systems and optimising models for performance. Real-world examples will make your answers stand out!
✨Get Familiar with the Company’s Tech Stack
Research the tools and technologies used by the company. If they’re working with AWS, GCP, or Azure, be prepared to discuss your experience with these platforms. Showing that you understand their environment will demonstrate your readiness to hit the ground running.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company's growth plans, and how they approach innovation. This not only shows your interest but also helps you gauge if the company is the right fit for you.