Backend Engineer

Back-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

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