
Literal Labs

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About
Literal Labs is pioneering a new generation of artificial intelligence by leveraging logic-based techniques, specifically combining propositional logic, data binarisation, and Tsetlin Machines. This innovative approach yields AI models that are orders of magnitude faster, more energy-efficient, and inherently explainable compared to traditional neural networks. The technology enables ultra-low power consumption, lightning-fast inference, and tiny model sizes, making it ideal for on-server, on-device, and edge deployments. Literal Labs aims to address critical system needs by providing AI solutions that ensure accountability and reduce computational complexity and costs. Spun out from Newcastle University, their mission is to make AI run efficiently and transparently wherever it is needed, without heavy reliance on cloud connectivity.
Platform
Task
Features
• ultra-low power consumption
• highly cost-efficient
• 52x less energy than neural networks
• 54x faster than neural networks
• edge and on-device deployment
• naturally explainable ai
• tiny model size
• lightning-fast inference
Job Opportunities
Mid / Senior Frontend Software Engineer
Literal Labs is a company that develops logic-based AI models, offering a new generation of artificial intelligence that is faster, more energy-efficient, and explainable.
Benefits:
Impact
Career progression
Friendly, knowledgeable teammates
Flexibility
Unlimited Holiday
Experience Requirements:
Expertise in building user interfaces with TypeScript, React.js and Next.js
Fluency with CSS and popular frameworks (e.g. Tailwind)
Proven ability to understand user needs and translate that into end Product
Experience with automated frontend testing (e.g. Vitest, Nightwatch)
Experience with Backend API development and relational databases, ideally PostgreSQL and ORMs like Prisma
Other Requirements:
Right to work for a UK-registered company is required
Responsibilities:
Be part of Product Engineering, which focuses on connecting customers to our platform of Machine Learning tools
Take pride in crafting maintainable, high quality code, while balancing technical debt and business needs
Advocate for the customer, driving user centric design and experience
Analyse user journeys to identify problems using logging and analytics tools
Collaborate with colleagues in Product, Machine Learning and Hardware to build solutions that use all our capabilities
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