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- Tasks: Build AI systems to automate workflows and enhance business performance.
- Company: A tech company fighting online fraud with innovative AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a small, dynamic team with fast-paced growth and ownership opportunities.
- Why this job: Make a real impact on revenue-critical processes using cutting-edge AI technology.
- Qualifications: Experience in building production-grade AI systems and working with cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Building AI systems to impact revenue-critical workflows.
Size: ~600 globally, ~60 in London
Areas: agentic systems, internal AI platforms, workflow automation
Based: Holborn, London
Hybrid: 3 days a week in-office
We're partnering with a company you likely haven’t heard of by name, but have almost certainly interacted with before. Their technology helps tackle online fraud. Every time you use your debit or credit card online, their platform makes your end-to-end purchasing journey safer. They’re now investing heavily in AI across the business. A lot of internal workflows today are still manual, fragmented, and time-consuming. The goal is to replace these with AI systems and agents that automate real processes.
Responsibilities:
- Exploring where AI and automation can meaningfully improve real-world operations
- Working with users (Sales, Marketing, Legal, GTM teams) to shape requirements
- Building and delivering dependable agents, workflows, and systems end-to-end
- Balancing latency, cost, and reliability
Why this role is interesting:
- The systems are tied directly to revenue and business performance
- You’ll work on problems where AI has clear, immediate application
- There’s real ownership and visibility across the organisation
- The team is small, experienced, and moving quickly
Qualifications:
- Built or deployed production-grade agentic / LLM-based systems
- The ability to work with non-technical stakeholders
- Experience with cloud platforms (AWS / GCP)
If this sounds like you, apply to learn more about the company and the role.
Artificial Intelligence Engineer employer: Workonomics
Contact Detail:
Workonomics Recruiting Team
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 industry, especially those working in AI or at companies similar to the one you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any AI systems or worked on relevant projects, create a portfolio or a GitHub repo. This way, you can demonstrate your expertise and passion for AI directly to potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s tech stack and their approach to AI. Brush up on how your experience aligns with their goals, especially around automating workflows and improving operations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and automation. We want to see how you've tackled real-world problems, so don’t hold back on those specific projects that showcase your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission to improve workflows through AI. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to mention your experience with cloud platforms like AWS or GCP. We’re looking for someone who can hit the ground running, so highlight any production-grade systems you’ve built or deployed.
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’re considered for this exciting opportunity. Let’s get started!
How to prepare for a job interview at Workonomics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially agentic and LLM-based systems. Be ready to discuss your past experiences in building or deploying these technologies, as well as how they can improve workflows.
✨Understand the Business Impact
Since this role is tied directly to revenue and business performance, it’s crucial to understand how AI can impact these areas. Prepare examples of how your work has previously contributed to business outcomes, and be ready to discuss how you can do the same here.
✨Communicate with Non-Techies
You’ll be working with various teams like Sales and Marketing, so practice explaining complex AI concepts in simple terms. Think about how you can bridge the gap between technical and non-technical stakeholders during the interview.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios related to workflow automation and AI implementation. Think through your approach to balancing latency, cost, and reliability, and be ready to share your thought process during the interview.