At a Glance
- Tasks: Create innovative AI solutions and develop cutting-edge algorithms.
- Company: Exciting Series-Funded AI scale-up transforming enterprise data science.
- Benefits: Competitive salary, hybrid work model, and growth opportunities.
- Other info: Fast-paced environment with potential for career advancement.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in AI development and a passion for technology.
The predicted salary is between 43200 - 60000 £ per year.
The next wave of enterprise software won't be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. We are building the platform that enables enterprises to deploy these Digital Workers safely and at scale.
Our Digital Worker Factory allows organisations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done.
Backed by $50M+ in funding from leading venture capital firms, and supported by visionary investors including the CEO of Revolut, we are scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs.
The Role
We're hiring an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You'll work closely with global organisations, embedding with clients to untangle complex workflows and translate them into reliable, scalable agentic systems, integrating models, data, and enterprise infrastructure into solutions that operate in real-world environments.
Job requirements
We're looking for engineers who want to apply advanced AI to meaningful business problems. You'll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs.
Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.
What you'll bring:
- Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows
- A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders
- Strong delivery capabilities, with the ability to translate complex business problems into scalable AI systems
- A track record of delivering measurable impact through applied AI
What you'll do:
- Partner with leading enterprises to understand their needs and design tailored agentic workflows
- Implement robust, scalable systems leveraging the latest advancements in AI
- Own the end-to-end delivery of high-impact AI products, from concept through to production deployment
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Artificial Intelligence Engineer employer: Space Executive
Join a pioneering deep tech startup in the UK that is revolutionising industries by eliminating outdated systems and enabling real-world work to move at software speed. With a world-class team and a culture of high trust and ownership, you'll have the opportunity to make a significant impact from day one, backed by substantial funding and a clear path for growth. This is not just a job; it's a chance to be part of something transformative in a high-intensity environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. We love seeing what you can do, and it gives you an edge over other candidates.
✨Tip Number 3
Prepare for those interviews! Research common AI engineering questions and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see what you bring to the table!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for artificial intelligence shine through. We want to see how excited you are about building the future of enterprise AI and how you can contribute to our mission.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant skills and experiences that align with what we’re looking for, especially in data science and AI technologies.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This helps us quickly see why you’d be a great fit for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team during the hiring process.
How to prepare for a job interview at Space Executive
✨Know Your AI Fundamentals
Brush up on your core AI concepts and algorithms. Be ready to discuss how they apply to real-world scenarios, especially in enterprise settings. This will show that you understand the fundamentals and can think critically about their applications.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, particularly those involving AI or data science. Highlight your role, the challenges you faced, and the impact of your work. This gives interviewers insight into your practical experience and problem-solving skills.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the company and its AI initiatives. Inquire about their current projects, team dynamics, or future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Practice Coding Challenges
Since technical skills are crucial for an AI Engineer, practice coding challenges related to AI and machine learning. Use platforms like LeetCode or HackerRank to sharpen your skills. Being confident in your coding abilities will help you tackle any technical questions during the interview.
