At a Glance
- Tasks: Build and ship innovative AI features that solve real user problems.
- Company: Exciting stealth AI startup with a focus on next-gen technology.
- Benefits: Competitive salary, equity options, and fully remote work across Europe.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Join a small team to shape the future of AI and make a real impact.
- Qualifications: Experience in AI/ML applications and strong Python skills required.
The predicted salary is between 72000 - 88000 £ per year.
Location: Fully Remote (Europe)
Salary: 80,000 - 180,000 + Equity
The Role
I'm working with a well-funded, stealth AI company building a next-generation AI assistant designed to help people manage everyday tasks, conversations and workflows. The product is still pre-launch, making this a genuine 0-1 opportunity to join a small, high-calibre engineering team and help shape both the product and technical direction from an early stage. They're hiring across multiple levels, from experienced AI Engineers through to Principal Engineers.
Key Responsibilities
- Build and ship AI features from concept through to production
- Design and improve agent workflows, prompts, memory and tool use
- Build reliable AI systems that solve real user problems
- Improve latency, reliability and overall production performance
- Develop evaluation frameworks to measure real-world model quality
- Work closely with Product and Engineering to turn ambiguous problems into working software
- Help shape technical direction as the product evolves
Key Requirements
- Commercial experience building production AI/ML applications
- Strong Python engineering skills
- Experience with modern LLMs and agentic AI systems
- Hands-on experience with RAG, vector databases and LLM orchestration
- Experience deploying and operating production ML systems
- Comfortable working across models, infrastructure and product
- Enjoy working in fast-moving, early-stage environments
Tech Stack
- Python
- PyTorch
- JAX
- LLMs
- vLLM
- Vector Databases
- Modern Agent Frameworks
Get in touch for more details - ncarolan@mcgregor-boyall.com
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Applied AI Engineer in London employer: McGregor Boyall
Join a prestigious financial institution in Dublin as a Remote Python Risk Developer, where you'll be at the forefront of developing innovative risk management solutions for Emerging Markets. Enjoy a competitive contract rate and the flexibility of hybrid working, all while collaborating with top-tier professionals in a dynamic environment that fosters professional growth and exposure to high-profile projects. This role not only offers the chance to work with cutting-edge technology but also encourages continuous learning in advanced risk management practices.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI 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 McGregor Boyall 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 McGregor Boyall.
✨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 McGregor Boyall.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Applied AI Engineer in London
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 McGregor Boyall.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at McGregor Boyall 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 McGregor Boyall
✨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 McGregor Boyall 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.
