At a Glance
- Tasks: Build core systems to structure and model enterprise data for innovative AI workflows.
- Company: Join a dynamic startup with a proven founding team and exciting growth potential.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional development.
- Why this job: Make an immediate impact by shaping the future of B2B software with cutting-edge technology.
- Qualifications: Strong engineering fundamentals and experience in building production systems.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
The predicted salary is between 60000 - 80000 £ per year.
This team is building the representation layer for how companies operate. They acquire sticky B2B software businesses and plug them into a shared AI operating system. The challenge is turning fragmented, messy data across systems (CRM, billing, product, support, contracts) into clean abstractions that software can reason over. Think: modelling how a company actually works – then using that layer to drive predictions, workflows, and eventually autonomous actions.
The engineering team is small (~5 today, scaling to ~15 ASAP). They’ve built maybe 3–5% of what the final system will become. Most of the core architecture, abstractions, and technical decisions are still ahead. The founding team has an exceptional track record (including a prior multi-billion exit), and the business is already generating significant revenue across its portfolio. The work is 0→1, with immediate impact.
What you'll do:
- Build the core systems that ingest, structure, and model multi-source enterprise data
- Design abstractions that unify different schemas, workflows, and business logic
- Work on AI-native workflows (LLMs, agents, internal tooling) on top of that representation layer
- Ship production systems end-to-end across backend and product surfaces
- Make trade-offs between speed and long-term architecture in a fast-moving environment
- Work directly with product and commercial teams on high-impact problems
Stack:
- Backend in Ruby, Python and Rust
- Frontend in TypeScript / React
- Heavy use of AI coding tools (Claude Code, Cursor, etc.)
- The stack will evolve – they care more about how you think than what you’ve used.
What you'll need:
- Strong engineering fundamentals (language-agnostic)
- Experience building production systems with real users and data
- Solid understanding of system design, data modelling, and APIs
- Ability to operate in ambiguity and break down complex problems
- Product mindset and high ownership
Shortlisted candidates will be contacted within 48 hours.
Software-ontwikkelaar in London employer: Axiōma Search
Contact Detail:
Axiōma Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software-ontwikkelaar in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those that align with the job description. This gives you a chance to demonstrate your engineering fundamentals and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Focus on system design and data modelling, as these are crucial for the role. Remember, it’s not just about answering correctly but also about how you approach problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to building something impactful.
We think you need these skills to ace Software-ontwikkelaar in London
Some tips for your application 🫡
Show Your Passion for Problem-Solving: When you write your application, let us see your enthusiasm for tackling complex challenges. Share examples of how you've approached messy data or built systems that make sense of it all. We love candidates who can think outside the box!
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences that align with our job description. Highlight your experience with backend technologies like Ruby, Python, or Rust, and don’t forget to mention any AI tools you've used!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, focusing on your relevant experience and skills. Avoid jargon unless it’s necessary, and make sure we can easily understand your contributions.
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 Axiōma Search
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Ruby, Python, Rust, TypeScript, and React. Be ready to discuss your experience with these languages and how you've used them to build production systems.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in the past. Think about situations where you had to operate in ambiguity and how you broke down those challenges into manageable parts. This will demonstrate your ability to think critically and adapt.
✨Understand the Business Context
Research the company’s approach to integrating B2B software and AI. Be prepared to discuss how you can contribute to building the representation layer and driving predictions and workflows. Showing that you understand their business model will set you apart.
✨Emphasise Collaboration
Since you'll be working closely with product and commercial teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully worked with different teams to deliver high-impact solutions, showcasing your product mindset and ownership.