Full Stack Engineer

7 days ago

London, Greater London, United Kingdom Bandida Mezcal Full time £60,000 - £120,000 per year

This is an exciting job in a startup with an incredibly intelligent team looking to shake-up the AI industry. Shares in the company offered plus salary, working from the UK or Dubai. Existing team consists of 4x full-time PhD physicists and mathematicians and looking for a Full Stack engineer to help us scale.

We are building a platform that helps businesses with AI ecosystems such as ChatGPT, Perplexity, and other generative search interfaces. The platform combines backend intelligence, data integration, and automation to continuously improve how information is represented.

We are looking for an 
experienced Full-Stack Engineer
 to work on both backend and frontend components of our platform. You will be responsible for maintaining database integrity and scalability, ensuring platform stability, and managing integrations across the full user journey.

The role involves close collaboration with the machine learning team and requires strong problem-solving skills, attention to detail, and an ability to translate complex data and flow requirements into smooth, secure, and reliable user experiences.

Key responsibilities include:


• 
Bug fixes and flow optimization
 across the full user journey, ensuring a seamless experience from entry to conversion.


• 
Integration of tools
 that enhance visibility and user engagement within the platform.


• 
Collaboration with the machine learning team
 to connect backend systems with AI-driven analytics and automation.


• 
Database integrity and scalability management
, ensuring accuracy, performance, and reliability for both users and admin operations.


• 
Continuous monitoring for stability, performance, and security
, including proactive issue detection and resolution.

Key Qualifications:


• 
5+ years of experience
 in full-stack engineering, with a strong grasp of both backend and frontend development.


• 
Proven experience managing databases
 (e.g., PostgreSQL, MongoDB, or MySQL), ensuring data accuracy, scalability, and security.


• 
Demonstrated track record
 of delivering production-level projects from development to deployment.


• 
Solid understanding of system architecture
 and the ability to design reliable, modular, and maintainable codebases.


• 
Bonus:
 experience working with 
AI-driven products or companies
, including integration with AI models, APIs, or data pipelines.

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