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- Tasks: Own and develop cutting-edge AI systems for real enterprise customers.
- Company: Fast-scaling AI-native Fintech start-up in London.
- Benefits: Competitive salary, equity, onsite chef, gym membership, and rapid career growth.
- Why this job: Join a dynamic team and make a real impact in AI engineering.
- Qualifications: Experience in software engineering and AI system deployment.
- Other info: Intense environment with direct founder access and exceptional learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This is a London-based, in-office role (five days a week) inside a fast-scaling AI-native Fintech start-up that’s already raised a significant Series A and is now building its core engineering team.
Let’s be clear upfront: this is not a lifestyle role. It is a career-defining one.
The company is building production-grade agentic AI systems for complex, high-stakes enterprise workflows. No demos. No theatre. Real customers, real usage, real pressure.
Engineers work shoulder to shoulder with highly successful entrepreneurs every day. There are no layers, no hand-offs, and no slow approvals. The intensity is intentional—it’s about learning faster, shipping faster, and taking ownership much earlier than most roles allow.
If flexibility is your priority, this won’t be the right move. If becoming exceptional, very quickly, is—it could be one of the best decisions you make.
On the work itself: you’ll own large parts of the agentic AI infrastructure end-to-end. That means designing and deploying multi-agent systems, building RAG pipelines, creating evaluation frameworks that actually measure quality and safety, and shipping AI features used by real enterprise customers. You’ll build backend services and APIs (Python, FastAPI/Django), work across infrastructure and deployment pipelines, and ensure everything holds up in production.
You won’t be endlessly tuning prompts or churning out throwaway PoCs. This is about owning systems, not slides.
They’re looking for strong software engineers who’ve already put AI systems into production, are comfortable across backend, data, and infrastructure, and don’t flinch when priorities shift. Ambiguity is part of the job. So is growth.
Exceptional engineers choose environments like this because the talent density raises their bar, founder access is direct and unfiltered, and a single year here can compress several years of learning elsewhere.
This role isn’t for everyone—and it’s not meant to be. But if someone wants to build real agentic AI at scale, own critical infrastructure, and trade short-term intensity for long-term career acceleration, this is one of the most compelling Applied AI Engineering opportunities in Europe right now.
They’re aggressively hiring an elite team of Applied AI engineers, so now is the time to join at this inflexion point - huge funding round just raised, requirement to scale at a ferocious pace = RAPID career growth for you.
If reading this feels both intimidating and exciting—that’s usually the right signal.
Software Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. Getting a referral can give you a leg up in the application process.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and system design. Practice common algorithms and data structures, and don’t forget to showcase your past projects!
✨Tip Number 3
Show your passion for AI and fintech during interviews. Share insights about recent trends or projects you've worked on that align with the company's mission. It’ll make you stand out!
✨Tip Number 4
Apply through our website for the best chance at landing an interview. We’re looking for exceptional talent, and we want to see your application come through directly!
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it drives you. Share any projects or experiences that highlight your skills in building AI systems, as we want to know what makes you tick!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experiences that align with the job description, especially your work with backend services and multi-agent systems. We love seeing how you fit into our vision!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what you've achieved and how it relates to the role. Remember, less is often more!
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. Don’t miss out on being part of our journey!
How to prepare for a job interview at Omnis Partners
✨Understand the Company Culture
Before your interview, dive deep into the company's culture and values. This role is all about intensity and ownership, so be ready to discuss how you thrive in fast-paced environments and can handle ambiguity. Show them that you’re not just looking for a job, but a career-defining opportunity.
✨Showcase Your Technical Skills
Prepare to discuss your experience with AI systems and backend development. Be specific about the projects you've worked on, especially those involving Python, FastAPI, or Django. Bring examples of how you've built production-grade systems and how you’ve tackled challenges in previous roles.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Think through scenarios where priorities shifted and how you adapted. They want to see that you can think on your feet and come up with effective solutions under pressure—so practice articulating your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company’s future. Inquire about their approach to building agentic AI systems or how they measure success in their engineering teams. This not only demonstrates your enthusiasm but also helps you gauge if this intense environment is the right fit for you.
