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: Competitive salary, equity participation, hybrid work, and opportunities for rapid growth.
- Other info: Fast-paced environment with high ownership and direct influence on product direction.
- Why this job: Join a small team and make a real impact on the future of AI infrastructure.
- Qualifications: Strong full stack engineering skills and a passion for user experience.
The predicted salary is between 60000 - 80000 £ per year.
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 startup 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 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 engineering capability across frontend and backend
- Experience building and shipping products within early-stage startup environments
- Product-minded individuals who care about user experience and workflow design
- Experience building internal tools, operational platforms, or workflow systems
- Engineers who actively use AI tooling within their development workflows
- Strong frontend product engineering capability
- Background building internal platforms or workflow tooling
- Exposure to LLM products, AI tooling, or evaluation systems
- Evidence of shipping quickly and iterating based on user feedback
- TypeScript / React / modern frontend frameworks
- Python or Node.js backend systems
- AI tooling and LLM integrations
- Help shape a foundational AI infrastructure platform from the ground up
- Strong long-term upside through equity participation
Packing Staff employer: Omnis Partners
Join an innovative early-stage AI startup in London, where you'll be part of a small, dynamic team that values high ownership and fast execution. With a strong focus on product usability and user experience, this role offers you the chance to shape the future of AI infrastructure while enjoying a collaborative work culture that encourages rapid iteration and direct involvement in product development. Benefit from unique opportunities for personal growth and equity participation as you contribute to building scalable solutions in a cutting-edge environment.
StudySmarter Expert Advice🤫
We think this is how you could land Packing Staff
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to full stack development or AI tooling. This is your chance to demonstrate your capabilities and passion for building products that users love.
✨Tip Number 3
Prepare for interviews by understanding the company’s product and its users. Dive deep into their tech stack and think about how you can contribute to their goals. Tailor your responses to highlight your experience with similar projects and your product-minded approach.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to shape the future of AI infrastructure. Your next big opportunity could be just a click away!
We think you need these skills to ace Packing Staff
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 relevant projects or experiences that highlight your interest in AI evaluation and structured data workflows.
Highlight Your Full Stack Skills:Make sure to showcase your full stack engineering capabilities. We want to know about your experience with frontend frameworks like React and backend systems like Python or Node.js. Be specific about the projects you've worked on!
Emphasise User Experience:Since we care a lot about product usability, mention any instances where you've improved user experience or workflow design. This will show us that you understand the importance of building products that users love.
Apply Through Our Website:Don't forget to apply 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 environment.
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like TypeScript, React, Python, and Node.js. Brush up on your full stack capabilities and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Product Mindset
This role is all about building user-friendly products. Be prepared to talk about your experience with product usability and workflow design. Share examples of how you’ve iterated on feedback to improve user experience in previous roles.
✨Emphasise Your Startup Experience
Since this is an early-stage startup, highlight any previous experience you have in similar environments. Discuss how you’ve thrived in fast-paced settings, taken ownership of projects, and contributed to shaping product direction.
✨Prepare for Technical Challenges
Expect technical questions or challenges during the interview. Practice coding problems related to full stack development and be ready to demonstrate your problem-solving skills. This will show that you can think on your feet and handle the demands of the role.
