At a Glance
- Tasks: Build innovative AI evaluation tools and streamline data workflows in a dynamic startup.
- Company: Exciting early-stage AI startup with a focus on cutting-edge technology.
- Benefits: Flexible working, competitive salary, and opportunities for rapid career growth.
- Other info: Fast-paced environment with high ownership and minimal bureaucracy.
- Why this job: Join a small team and make a real impact on the future of AI technology.
- Qualifications: Strong full-stack engineering skills and experience in AI product development.
The predicted salary is between 60000 - 80000 £ per year.
Member of Technical Staff - Software Engineering
We’re working with an early-stage AI startup building core infrastructure focused on AI evaluation, structured data workflows, and production-grade operational tooling for frontier AI systems.
The company is building the systems around model performance, combining human-in-the-loop workflows, evaluation tooling, quality control systems, and AI-assisted operations into a scalable platform used within high-stakes environments.
This is a genuine early-stage start-up environment: small team, high ownership, fast execution, minimal bureaucracy, and direct involvement in shaping both product and engineering direction.
This is a highly product-focused engineering role for a strong full-stack engineer who enjoys building complete products end-to-end.
You’ll help design and build the internal platform powering the company’s AI evaluation and data operations engine, including workflows, tooling, interfaces, review systems, and automation pipelines.
The ideal person will care just as much about product usability, workflows, and frontend experience as they do about backend systems and architecture.
You’ll work closely with founders and users to turn complex manual processes into scalable software products, rapidly iterating based on feedback in a fast-moving startup environment.
- Build full-stack internal products for Agentic AI evaluation and structured data workflows
- Own features end-to-end across frontend, backend, and infrastructure
- Help shape engineering standards, architecture, and product direction as the company scales
Strong full stack SWE engineering capability across frontend and backend.
Experience building and shipping agentic AI products within early-stage startup environments.
Product-minded individuals who care about user experience and workflow design.
Engineers who actively use AI tooling within their development workflows.
Senior Software Engineer C# - FLEXIBLE WORKING in London employer: Omnis Partners
As a Senior Software Engineer at our innovative AI startup in London, you'll thrive in a dynamic and flexible work environment that champions creativity and ownership. We offer a unique opportunity to shape cutting-edge products while collaborating closely with founders and industry leaders, all within a supportive culture that prioritises employee growth and meaningful contributions to high-stakes AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer C# - FLEXIBLE WORKING in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at startups or in AI. Use platforms like LinkedIn to connect and engage with them. A personal touch can make all the difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. This is your chance to demonstrate your product-minded approach and how you tackle complex problems.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and their engineering challenges. Be ready to discuss how you can contribute to their mission and improve user experience. Tailor your answers to reflect their needs!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer C# - FLEXIBLE WORKING in London
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 your work. Share any relevant projects or experiences that highlight your interest in building AI products, especially in a startup environment.
Highlight Full-Stack Experience:Make sure to showcase your full-stack engineering skills. We want to know about your experience with both frontend and backend development, so include specific examples of projects where you've owned features end-to-end.
Focus on Product Usability:Since this role is highly product-focused, emphasise your understanding of user experience and workflow design. Talk about how you've improved usability in past projects and how you approach building scalable software products.
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 in our fast-paced startup!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Stack
Make sure you’re well-versed in C# and the relevant technologies mentioned in the job description. Brush up on your full-stack capabilities, as you'll need to demonstrate your understanding of both frontend and backend systems during the interview.
✨Showcase Your Product Mindset
This role is all about building user-friendly products. Be prepared to discuss how you've previously prioritised user experience and workflow design in your projects. Share specific examples where your work has directly impacted product usability.
✨Embrace the Startup Spirit
Since this is an early-stage startup, they’ll be looking for candidates who thrive in fast-paced environments. Highlight your experiences in similar settings, focusing on your ability to take ownership and adapt quickly to changing requirements.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges that reflect real-world problems they encounter. Practice solving problems related to AI evaluation and data workflows, and be ready to explain your thought process clearly and concisely.
