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- Tasks: Design and build AI-driven backend systems that solve real-world problems.
- Company: Fast-growing AI-first software company focused on intelligent automation.
- Benefits: Equity options, competitive salary, and a collaborative office environment.
- Why this job: Make a significant impact with cutting-edge technology in a dynamic team.
- Qualifications: Experience in distributed systems and a passion for AI technologies.
- Other info: Work in a small, high-impact team in central London.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Workonomics is partnering with a small, fast-growing AI-first software company building intelligent automation platforms for large UK enterprises and public-sector organisations. The company builds and runs software products that automate high-friction operational processes and scale across entire industries.
Why this company? “AI-first” here isn’t a buzzword — it’s the organising principle. Every system, process, and platform is designed so AI does the heavy lifting, allowing a small team to deliver disproportionate impact. The business model is built around reusable platforms, recurring revenue, and compounding IP, not one-off projects.
You’ll work on a core AI automation platform that’s deployed in real, mission-critical environments across sectors like manufacturing, insurance, retail, FMCG, and central government. We’re hiring Product Engineers who enjoy building high-quality backend systems and working close to real customer problems.
You’ll spend most of your time:
- Designing and building distributed systems, APIs, and integrations
- Embedding AI / LLM-powered capabilities into real operational workflows
- Working directly with enterprise users to understand how systems behave in the real world
This role will suit engineers who want technical depth, ownership, and customer context. You enjoy building robust systems and learning how intelligent components fit into real software.
You likely bring:
- Strong experience building distributed systems (Python, Node, Java or similar)
- Solid understanding of API design, integrations, and system reliability
- Hands-on experience with AWS and cloud-native architectures
- Comfort working with data pipelines, queues, and operational datasets
- Curiosity about AI / LLMs and a willingness to experiment
- Confidence engaging directly with customers and translating workflows into code
Equity via a transparent, level-based framework. Mon–Thu in a central London office (small team, high collaboration). High-impact work, no bloat, no busywork — just serious engineering problems.
Software Engineer employer: Workonomics
Contact Detail:
Workonomics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Get to know the company inside out! Research their AI-first approach and understand how they tackle real-world problems. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Having someone vouch for you can make all the difference when it comes to landing that interview.
✨Tip Number 3
Prepare for technical interviews by brushing up on your skills in distributed systems and API design. Practice coding challenges and be ready to discuss your past projects, especially those involving AI and cloud-native architectures.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with distributed systems, API design, and any relevant AI projects. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us and how your background aligns with our mission. Don’t forget to mention your curiosity about AI and how you’ve engaged with customers in the past.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing real examples of your work, especially if they involve building robust systems or integrating AI capabilities.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Workonomics
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of distributed systems, APIs, and cloud-native architectures. Be ready to discuss your experience with Python, Node, or Java, and how you've applied these skills in real-world scenarios. The more specific examples you can provide, the better!
✨Show Your Curiosity About AI
Since this company is all about AI-first solutions, demonstrate your curiosity and willingness to experiment with AI and LLMs. Prepare to discuss any projects or ideas you have that involve AI integration, as this will show you're aligned with their mission.
✨Engage with Real Customer Problems
Be prepared to talk about how you've worked directly with users to understand their needs and translate those into technical solutions. Share examples of how you've tackled customer challenges in the past, as this role requires a strong connection between engineering and user experience.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to building intelligent automation platforms and how they measure success. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
