Backend Software Engineer, AI Squad

🔥 18 hours ago

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Spendesk

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

💳 Fintech

☁️ SaaS

🤝 B2B

💰 $113.3M Series C - Spendesk on 2022-01

Fintech • SaaS • B2B

Spendesk is Europe’s leading AI-powered spend management and procurement platform that helps companies of up to 1,000 employees control, automate, and optimize corporate spending. The SaaS product unifies virtual and physical payment cards, expense management, procurement, invoice processing, and accounting automation to give finance teams better visibility, compliance, and operational efficiency. Spendesk serves businesses across Europe and emphasizes a customer- and growth-focused culture.

📋 Description

• 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, not just experimentation, with clear ownership of deployment, monitoring, and maintainability. • Partner closely with the squad’s ML Engineers to productionize predictive models and LLM-driven capabilities. • Integrate model-serving APIs or LLM calls into robust backend services (your squad, or the applicative squad’s services) with proper retries, fallbacks, and observability. • Help define evaluation and monitoring patterns that make intelligent product behaviors measurable over time. • 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. • Collaborate with applicative squads (or join them for a quarter) to integrate AI and ML services into existing user journeys and backend systems. • Define and uphold standards around latency, resilience, failure handling, and cost efficiency for AI-powered services.

🎯 Requirements

• Significant experience on backend software engineering experience in production environments. • A 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. • Exposure to ML-enabled or AI-enabled product features is a strong plus. • 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. • Nice to have: Experience productionizing ML-backed features such as classification, recommendation, forecasting, or automation. • Nice to have: Experience integrating LLM-backed capabilities into product workflows. • Nice to have: Familiarity with evaluation patterns for AI-powered features. • Nice to have: Experience in SaaS, fintech, or regulated environments.

🏖️ Benefits

• Flexible on-site and remote policy • Latest Apple equipment — the tools you need to excel • Access to Moka.care — for emotional and mental health wellbeing • Great office snacks — to fuel your day • A positive team to work with daily! • location-specific benefits tailored to each market, including health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships — ensuring you're well supported wherever you're based.