Full job descriptionBack-End Engineer


London (Hybrid, minimum 3 days in office) | £70,000 - £80,000 + Bonus + Benefits


This is an opportunity to join a well-funded AI software business building next-generation enterprise technology. You’ll play a key role in developing the backend systems that power complex workflows, AI-driven capabilities, and large-scale data processing, while helping shape engineering standards in a growing team.


The Company


They are developing an AI-powered platform that enables organisations to manage complex workflows, data sources, and decision-making processes more efficiently. Operating within a high-growth environment, they combine advanced AI capabilities with enterprise-grade reliability, security, and compliance. Their engineering team is highly collaborative, with a strong focus on product quality, innovation, and ownership. They are investing heavily in technology and offer the chance to make a meaningful impact from day one.


The Role


You will:
*Design, build and maintain scalable backend services using Python and cloud-native technologies.
*Develop APIs, workflow services and data platforms that support AI-powered products.
*Build and optimise multi-tenant systems with a focus on security, reliability and auditability.
*Work closely with engineering teams to integrate backend systems with AI and machine learning services.
*Improve observability through monitoring, logging, testing and performance optimisation.
*Contribute to architecture decisions and engineering best practices.
*Support cloud infrastructure, deployment pipelines and production environments.
*Help deliver highly available systems used by enterprise customers.


Your Skills & Experience


You will have:
*Strong commercial experience building backend applications with Python and SQL.
*Experience working with PostgreSQL and API development frameworks such as FastAPI.
*A background developing SaaS, platform, or enterprise-scale systems.
*Strong understanding of security, testing, observability and software engineering best practices.
*Experience operating applications within AWS environments.
*Familiarity with CI/CD pipelines, Linux and modern engineering workflows.
*Regular use of AI-assisted development tools such as Cursor, Claude Code or similar.


Desirable experience includes:
*Java and Spring Boot.
*Event-driven architectures and workflow orchestration.
*LLM integrations or AI-powered products.
*Experience within regulated or data-intensive industries.


What They Offer
*Competitive salary, bonus and benefits package.
*The opportunity to build cutting-edge AI products with real-world impact.
*High levels of ownership and influence over technical decisions.
*Exposure to senior stakeholders and a collaborative engineering culture.
*Strong progression opportunities as the team continues to grow.
*Modern London office with a flexible hybrid working model.


How to Apply


If you’re a Back-End Engineer looking to build scalable AI-powered products in a fast-growing environment, apply today to learn more.