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 model, and growth opportunities.
- 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
Picking and Packing Staff Required employer: Omnis Partners
Join an innovative early-stage AI startup in London, where you'll have the opportunity to make a significant impact in a dynamic and collaborative environment. With a strong focus on product development and minimal bureaucracy, this role offers you the chance to shape both the engineering direction and user experience of cutting-edge AI infrastructure. Enjoy competitive equity participation and the chance to grow alongside a passionate team dedicated to transforming complex workflows into scalable solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Picking and Packing Staff Required
✨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 AI evaluation or workflow systems. This will give potential employers a taste of what you can do and how you think about product usability.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to companies you’re interested in, like the early-stage AI startup we’re working with. Express your enthusiasm and ask if they have any upcoming opportunities.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your interest in our company and helps us get to know you better right from the start.
We think you need these skills to ace Picking and Packing Staff Required
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your full stack engineering capabilities and any relevant experience in early-stage startups. We want to see how you can contribute to our AI evaluation and data operations engine!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building products and how your background aligns with our mission. Don’t forget to mention your experience with user feedback and iterative development – we love that!
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's internal tools or workflow systems, we want to see what you've built. Share links or descriptions that demonstrate your frontend and backend skills.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
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. Prepare examples of how you've prioritised user experience and workflow design in your previous work. Think about specific instances where you turned complex processes into streamlined solutions.
✨Emphasise Your Startup Experience
Since this is an early-stage startup, they’ll want to know how you thrive in fast-paced environments. Share stories that highlight your adaptability, ownership, and ability to execute quickly while maintaining quality.
✨Prepare for Technical Challenges
Expect technical questions or challenges during the interview. Practice coding problems related to full stack development and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
