At a Glance
- Tasks: Build innovative AI infrastructure and develop full stack products from scratch.
- Company: Exciting early-stage AI startup with a dynamic and collaborative culture.
- Benefits: Equity participation, competitive salary, and the chance to shape product direction.
- Other info: Fast-paced environment with opportunities for rapid career growth.
- Why this job: Join a small team and make a real impact in the AI space.
- 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 / Packing Staff Required 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 growth opportunities, including 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 Picking / 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 a lead on a job or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI evaluation or workflow systems. This is your chance to demonstrate your full stack capabilities and product-minded approach. Make sure to share it when you apply through our website!
✨Tip Number 3
Prepare for interviews by understanding the company’s products and their user experience. Be ready to discuss how you can contribute to building scalable software solutions. Tailor your answers to reflect your passion for product usability and workflow design.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for their team.
We think you need these skills to ace Picking / 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 infrastructure!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for product usability and user experience, and explain why you're excited about working with us at this early-stage AI startup. Let your personality come through!
Showcase Your Projects:Include links to any projects or products you've built, especially those related to AI tooling or internal platforms. We love seeing what you've created and how you’ve iterated based on user feedback. It gives us insight into your hands-on experience!
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 applicants 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. Be ready to discuss how you’ve iterated on feedback to improve product usability.
✨Embrace the Startup Spirit
Since this is an early-stage startup, demonstrate your adaptability and willingness to take ownership. Share experiences where you’ve thrived in fast-paced environments and how you’ve contributed to shaping product direction.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice solving problems that involve both frontend and backend development. Being able to think on your feet and showcase your problem-solving skills will impress the interviewers.
