At a Glance
- Tasks: Design and deploy cutting-edge AI applications while solving real-world problems.
- Company: Fast-growing AI consultancy with a collaborative and innovative culture.
- Benefits: Competitive salary, bonus structure, flexible equipment choices, and dedicated learning budgets.
- Other info: Work alongside experienced AI specialists in a dynamic, growth-focused environment.
- Why this job: Join a rapidly scaling AI business and influence impactful projects from day one.
- Qualifications: Hands-on experience with LLM APIs and strong software engineering fundamentals.
The predicted salary is between 60000 - 80000 € per year.
A fast-growing AI consultancy is looking to hire multiple AI Engineers across a range of seniority levels as part of a major growth phase within its engineering function. Opportunities are available for strong mid-level engineers through to highly experienced senior and lead-level profiles, with salaries reflective of experience and technical depth. This is an opportunity to join a genuinely AI-native business working at the forefront of large language models, agentic workflows, RAG architectures and enterprise-scale AI deployment.
You’ll be part of a collaborative, high-performing engineering environment where innovation, experimentation and practical impact are at the centre of everything. The role is ideally suited to engineers who enjoy solving complex real-world problems through scalable AI systems rather than pure research or model training. You’ll play a key role in building reliable orchestration layers, improving system performance and helping enterprise customers unlock measurable value from AI technologies.
The Opportunity
You’ll work on sophisticated AI applications involving multi-agent orchestration, retrieval systems, vector databases, tool integrations and cloud-native deployment pipelines. The business partners with some of the most recognised names in AI and cloud technology, giving engineers exposure to modern tooling, enterprise-scale challenges and genuinely impactful projects. This is a chance to work alongside highly experienced AI specialists in an environment that encourages ownership, rapid learning and technical progression. More senior hires will also have the opportunity to influence architecture, mentor engineers and help shape best practice across AI delivery.
Key Responsibilities
- Design, build and deploy production-ready AI applications powered by LLMs
- Develop scalable RAG pipelines, retrieval systems and vector database integrations
- Create evaluation and observability frameworks to monitor quality, reliability and performance
- Build robust APIs, workflows and orchestration layers for agentic AI systems
- Implement feedback loops and optimisation strategies across latency, cost and output quality
- Work closely with cross-functional teams to deliver enterprise-grade AI solutions
- Contribute to cloud-native infrastructure, deployment pipelines and system scalability
What They’re Looking For
- Strong hands-on experience building applications using LLM APIs
- Experience with RAG architectures, vector databases, prompt engineering and knowledge retrieval
- Exposure to agentic frameworks such as LangGraph, Claude Agents SDK or similar
- Strong software engineering fundamentals with Python and modern API/service development
- Cloud platform experience across AWS, Azure or GCP
- Understanding of distributed systems, CI/CD and production deployment practices
- Strong problem-solving skills with the ability to work effectively in ambiguous, fast-moving environments
- Experience balancing AI system quality, latency and cost trade-offs
- AI-assisted development tools such as GitHub Copilot, Claude Code or OpenAI Codex
- Fine-tuning LLMs and understanding when fine-tuning is preferable to RAG or prompt engineering
- Real-time streaming, multimodal AI or search technologies
- Observability and monitoring tools for AI systems
- Experience within regulated or enterprise environments such as financial services, healthcare, energy or retail
Why Apply?
- Opportunity to join a rapidly scaling AI business with significant growth plans
- Highly collaborative and forward-thinking engineering culture
- Genuine opportunity to influence projects, systems and technical direction from an early stage
- Competitive salary and bonus structure
- Strong investment in employee development, including dedicated learning budgets
- Flexible choice of equipment and tooling
- Exposure to enterprise-scale AI transformation projects with globally recognised clients and technology partners
AI Engineer employer: Via
Join a fast-growing AI consultancy in London that champions innovation and collaboration, offering AI Engineers the chance to work on cutting-edge projects with leading technology partners. With a strong focus on employee development, competitive salaries, and a flexible work environment, this company fosters a culture of ownership and rapid learning, making it an ideal place for engineers eager to make a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or even just grab a coffee with someone already in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or RAG architectures. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly! If you see a company you’re keen on, drop them a message on LinkedIn or through their website. Express your interest and ask about any upcoming opportunities – it shows initiative!
✨Tip Number 4
Keep learning and stay updated! The AI field is always evolving, so make sure you’re keeping up with the latest trends and technologies. Consider taking online courses or attending workshops to boost your knowledge and skills.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your hands-on experience with LLM APIs, RAG architectures, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific technologies or projects that excite you about this role.
Showcase Problem-Solving Skills:In your application, don’t just list your technical skills; share examples of how you've tackled complex problems in previous roles. We love engineers who can think on their feet and come up with creative solutions, so let us know how you've done this!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Via
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models, RAG architectures, and vector databases. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved using scalable AI systems. Highlight your thought process and the impact of your solutions, especially in fast-paced environments.
✨Familiarise with Their Tech Stack
Research the cloud platforms they use, like AWS, Azure, or GCP, and be ready to discuss your experience with CI/CD practices. This shows you're not just a fit for the role but also genuinely interested in their tech environment.
✨Ask Insightful Questions
Prepare thoughtful questions about their projects, team dynamics, and future plans. This demonstrates your enthusiasm for the role and helps you gauge if the company culture aligns with your values.
