At a Glance
- Tasks: Design and deploy cutting-edge AI systems that impact thousands of users.
- Company: Exciting AI startup backed by major players like Anthropic and OpenAI.
- Benefits: Equity options, hybrid work, and a fast-paced, innovative environment.
- Other info: Thriving startup culture with opportunities for rapid career growth.
- Why this job: Join a dynamic team shaping the future of AI with real-world applications.
- Qualifications: 4+ years in AI applications, experience with LLMs, and a passion for innovation.
The predicted salary is between 80000 - 98000 £ per year.
We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
The Opportunity
As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products. You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
What You'll Be Working On
- Building and deploying AI-powered products and intelligent agent workflows
- Developing and optimising LLM applications for production environments
- Designing agentic systems capable of complex reasoning and task execution
- Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
- Running user experiments and A/B testing to improve model performance and user experience
- Working closely with Product and Engineering teams to rapidly ship new features
- Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
Key technologies include:
- Python
- LangGraph
- LangChain
- OpenAI APIs
- Anthropic APIs
- Vector Databases
- Agentic AI Frameworks
- LLM Evaluation & Observability Tools
- Cloud Platforms (AWS, GCP or Azure)
We're Looking For People Who
- Have 4+ years’ experience building and deploying AI applications into production
- Have worked with LLMs, AI agents, RAG systems, or generative AI products
- Thrive in fast-paced startup environments
- Enjoy solving complex technical challenges with a product-first mindset
- Are comfortable working with ambiguity and taking ownership
- Have experience in a high-growth startup that has scaled through Seed to Series A or Series A to Series B funding
- Are passionate about the future of AI and excited by the pace of innovation in the market
AI Engineer in London employer: StaffHost digital
Join a dynamic AI startup in London that is at the forefront of innovation and growth, offering you the chance to make a significant impact as an AI Engineer. With a collaborative work culture that encourages experimentation and ownership, you'll have access to equity options and the opportunity to work with cutting-edge technologies alongside industry leaders like Anthropic and OpenAI. This role not only promises a fast-paced environment but also provides ample opportunities for professional development and career advancement as the company scales.
StudySmarter Expert Advice🤫
We think this is how you could land 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 StaffHost digital 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 StaffHost digital.
✨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 StaffHost digital.
✨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 StaffHost digital 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 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 StaffHost digital.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at StaffHost digital 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 StaffHost digital
✨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 StaffHost digital 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.
