Backend Software Engineer (AI Squad)

Salary: £30,000 - 32,000 per year

Requirements:

• Significant backend software engineering experience in production environments.
• Strong track record of designing and shipping reliable backend services with measurable user or business impact.
• Experience contributing to complex product initiatives in fast-paced, cross-functional teams.
• Strong backend engineering skills with TypeScript / Node.js or adjacent technologies.
• Experience designing APIs and service layers for complex product workflows.
• Good understanding of distributed systems, async processing, and operational reliability.
• Practical experience, or strong interest, in integrating predictive models, LLM APIs, or other AI capabilities into product backends.
• Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices.
• Highly autonomous and comfortable owning backend systems from design to production.
• Product-minded, customer-focused, and motivated by building features that create visible value for end users.
• Comfortable working closely with ML Engineers and translating their outputs into durable product capabilities.
• Pragmatic and impact-driven, able to move from experimentation to production without losing engineering rigor.
• Fluent in written and spoken English, our business language.
• Experience productionizing ML-backed features such as classification, recommendation, forecasting, or automation is a plus.
• Experience integrating LLM-backed capabilities into product workflows is a plus.
• Familiarity with evaluation patterns for AI-powered features is a plus.
• Experience in SaaS, fintech, or regulated environments is a plus.

Responsibilities:

• Design, build, and operate backend services and APIs that power AI-driven, ML-driven, or automation-heavy product capabilities.
• Translate predictive logic and AI outputs into reliable backend behaviors that can be consumed by user-facing product flows.
• Build the service layer that allows intelligent features to be integrated into real workflows with strong standards on latency, reliability, and security.
• Ensure features are designed for production, with clear ownership of deployment, monitoring, and maintainability.
• Partner closely with our ML Engineers to productionize predictive models and LLM-driven capabilities.
• Integrate model-serving APIs or LLM calls into robust backend services with proper retries, fallbacks, and observability.
• Help define evaluation and monitoring patterns that make intelligent product behaviors measurable over time.
• Contribute to engineering patterns that allow ML and AI capabilities to be reused across multiple product features.
• Build backend capabilities that help automate repetitive tasks, anticipate user needs, or simplify complex workflows.
• Work on product experiences where AI or ML can reduce manual effort, improve decision quality, or shorten time to value for users.
• Partner with Product and Design to turn ambiguous ideas into concrete backend implementations with measurable impact.
• Bring pragmatism to delivery, balancing experimentation speed with long-term maintainability and trust.
• Instrument services with logs, tracing, and metrics to support production visibility and continuous improvement.
• Define and uphold standards around latency, resilience, failure handling, and cost efficiency for AI-powered services.
• Build with responsible data handling, security, and privacy by default, especially when features interact with sensitive financial workflows.
• Embrace a you build it, you run it mindset, owning the health and quality of what you ship.
• Work hand-in-hand with ML Engineers, Product Managers, and Designers to deliver AI-powered product capabilities end-to-end.
• Collaborate with applicative squads to integrate AI and ML services into existing user journeys and backend systems.
• Help define the technical interfaces and integration patterns that make intelligent services easier to adopt across the product.
• Share best practices in backend reliability, production readiness, and AI feature delivery across the engineering organization.

Technologies:

• AI
• Backend
• Support
• Kafka
• LLM
• PostgreSQL
• Security
• TypeScript
• NodeJS
• AWS
• Business Intelligence
• Cloud
• Flow
• Redis

More:

We are Spendesk, the AI-powered spend management and procurement platform that transforms company spending by simplifying procurement, payment cards, expense management, invoice processing, and accounting automation. We support over 200,000 users across brands such as Payfit, Accor, Welcome to the Jungle, Swile, Big Mamma, Malt, and Yousign, with offices in the United Kingdom, France, Spain, and Germany. We value liberation, ownership, curiosity, kindness, and a positive mindset, and we offer a flexible on-site and remote policy, latest Apple equipment, access to Moka.care, great office snacks, and location-specific benefits such as health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships. We are primarily hiring in Paris, London, or Barcelona with a flexible hybrid setup, though outstanding remote candidates may be considered. Our team is international, and we encourage people from all backgrounds to apply.

last updated 35 week of 2026