Backend Software Engineer (AI Squad)

Навыки

• AWS
• Распределённые системы
• Excel
• GitHub Actions
• Jaeger / OpenTelemetry
• Kafka
• Kubernetes

О компании и продукте

• As a Backend Software Engineer (IC3) in the AI & Data Products squad, you will design, build, and operate backend services that power AI-native and ML-native product features.
• Your mission is to help Spendesk move from isolated intelligence components to real, user-facing product capabilities. In practice, this means partnering with ML Engineers to productionize predictive logic, expose it through clean APIs and services, and integrate it into workflows that automate tasks, simplify decision-making, or anticipate user needs.
• You may work on features such as:
• automated categorization and enrichment of spend-related workflows

Задачи

• Backend services for AI and ML-powered product features
• 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
• Productionization of ML and LLM capabilities
• 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
• Contribute to the engineering patterns that allow ML and AI capabilities to be reused across multiple product features
• Automation, prediction & workflow simplification
• 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
• Reliability, observability & operational ownership
• 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
• Cross-functional collaboration
• Work hand-in-hand with ML Engineers, Product Managers, and Designers to deliver AI-powered product capabilities end-to-end
• Collaborate with applicative squads (or join them for a quarter) 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
• Build AI-powered product capabilities that automate, predict, and simplify user workflows

Требования

• Experience & background
• You have
• 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
• Technical & data skills
• 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
• Leadership & collaboration
• 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
• This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences

Будет плюсом

• Experience productionizing ML-backed features such as classification, recommendation, forecasting, or automation
• Experience integrating LLM-backed capabilities into product workflows
• Familiarity with evaluation patterns for AI-powered features
• Experience in SaaS, fintech, or regulated environments
• Not ticking every box?
• We’d still love to hear from you
• At Spendesk, we value skills, potential and diverse experiences

Как проходит отбор

• HR screening call
• Discussion with the Hiring Manager
• Technical interview, live coding and/or system design depending on profile
• Final interview with leadership
• As we are an international team, please submit your application and CV in English

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