At a Glance
- Tasks: Design and deploy cutting-edge AI applications that make a real impact.
- Company: Fast-growing tech company focused on innovative AI solutions.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Great career growth potential in a rapidly evolving field.
- Why this job: Join a dynamic team shaping the future of AI technology.
- Qualifications: Experience in AI engineering and a passion for continuous learning.
The predicted salary is between 81000 - 99000 £ per year.
A fast-growing technology-led business is looking for a Senior AI Engineer to join their expanding AI and Data function.
Over the last few years, the business has rebuilt its entire technology platform, invested heavily in data and AI capabilities, and is now focused on building production-ready AI solutions that create real business impact. This is not a research role. They're looking for someone who enjoys taking AI solutions from idea through to production and wants to work on agentic systems, AI automation, LLM applications, RAG architectures and intelligent workflows used by real users every day.
You'll join a growing AI team and help shape the next generation of AI products while mentoring more junior engineers and contributing to technical direction.
Responsibilities
- Design, build and deploy production-grade AI applications using LLMs and modern AI architectures
- Build agentic workflows and AI automation solutions
- Develop RAG systems, vector search solutions and enterprise knowledge assistants
- Design and optimise data pipelines using Databricks, Python and SQL
- Work across the full AI lifecycle from experimentation through deployment and monitoring
- Establish best practices around evaluation, observability and AI quality
- Collaborate with engineering, product and business stakeholders to solve complex problems using AI
- Mentor junior engineers and contribute to the growth of the wider AI function
- Help move AI initiatives beyond proof-of-concept into business-critical production systems
Skills & Experience
- Commercial experience as an AI Engineer, Machine Learning Engineer or Data/AI Engineer
- Experience building production AI solutions
- Hands-on experience with Agentic AI, LLMs and Generative AI
- Experience with RAG, vector databases and retrieval systems
- Strong SQL and Data Engineering foundations
- Experience deploying AI systems into production environments
- Cloud experience (Azure preferred)
- Ability to mentor and support less experienced engineers
- Passion for AI and continuous learning
This is a great opportunity for someone who enjoys building AI products that people actually use, working closely with a team, and helping shape AI strategy within a business that is investing heavily in the space.
Generative AI Engineer in Guildford employer: Albert Bow
Join a dynamic and innovative technology company that thrives on delivering impactful solutions in the financial services and RegTech sectors. With a strong focus on employee development, we offer extensive growth opportunities, a collaborative work culture, and the flexibility of remote/hybrid working arrangements. Our commitment to excellence ensures that you will be part of a team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in Guildford
✨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 Albert Bow 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 Albert Bow.
✨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 Albert Bow.
✨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 Albert Bow 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 Generative AI Engineer in Guildford
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 Albert Bow.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Albert Bow 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 Albert Bow
✨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 Albert Bow 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.
