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, RAG architectures, and strong Python skills.
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, where you'll be part of a dynamic and innovative engineering team dedicated to solving complex real-world problems through scalable AI systems. With a strong emphasis on collaboration, employee development, and exposure to cutting-edge technology, this role offers a unique opportunity to influence impactful projects while enjoying a competitive salary and flexible working arrangements. The company fosters a culture of rapid learning and technical progression, making it an excellent employer for those looking to advance their careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry events. You never know who might be looking for an AI Engineer just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiences. Whether it's GitHub repos or personal projects, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your problem-solving skills and understanding of AI concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Us!
Don’t forget to check out our website for the latest AI Engineer openings. We’re all about helping you land that dream job, so make sure to apply directly through us for the best chances!
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 environment!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for AI. Share why you're excited about the opportunity at StudySmarter and how your background aligns with our mission. Be genuine and let your enthusiasm shine through!
Showcase Your Problem-Solving Skills:In your application, give 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 don't hold back on sharing those success stories!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can't wait to see what you bring to the table!
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 the Company’s Tech Stack
Research the tools and platforms the company uses, like AWS, Azure, or GCP. Understanding their cloud-native deployment pipelines will show that you're genuinely interested and ready to hit the ground running.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, engineering culture, and opportunities for growth. This not only shows your enthusiasm but also helps you gauge if the environment is the right fit for you.
