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# Backend Software Engineer (Ai Squad)

- **Company:** Spendesk
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Security, Distributed Systems, PostgreSQL, Node.Js, Service Layer, Software Engineering, TypeScript, Large Language Models, State Machines, Backend, AI Platforms, Low Latency, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS)
- **Published:** July 31, 2026
- **Apply:** https://www.buscojobs.com.es/backend-software-engineer-ai-squad-en-barcelona-ID-364251952

## About the Role

This role emphasizes production readiness, observability, and secure, scalable delivery with a strong customer impact.Compensaciones / Beneficios* Design, build, and operate backend services and APIs for AI/ML-powered features* Translate AI outputs into reliable backend behaviors for user-facing flows* Create a service layer enabling AI capabilities across product workflows with attention to latency, reliability, and security* Own deployment, monitoring, and maintainability of features for production readiness* Partner with ML Engineers to productionize predictive models and LLM capabilities* Integrate model-serving APIs or LLM calls with robust retries, fallbacks, and observability* Define evaluation and monitoring patterns for measurable intelligent product behavior* Contribute to reusable backend patterns for AI features across products* Build backend capabilities to automate tasks, anticipate user needs, and simplify workflows* Collaborate with Product and Design to turn ideas into
concrete, impactful implementations* Balance rapid experimentation with long-term maintainability and trust* Instrument services with logs, tracing, and metrics for production visibility* Uphold standards on latency, resilience, and cost efficiency for AI services* Ensure secure data handling and privacy by default in financial contexts* Embrace ownership mindset: you build it, you run it* Collaborate with cross-functional teams to deliver end-to-end AI capabilities* Share backend reliability and AI feature delivery best practices across the orgResponsabilidades* Significant backend software engineering experience in production environments* Track record of designing and shipping reliable backend services with measurable impact* Experience in fast-paced, cross-functional product initiatives* Exposure to ML-enabled or AI-enabled product features is a plus* Strong xqbhyrx backend skills with TypeScript / Node.js or related technologies* Experience designing APIs and service layers for
complex workflows* Understanding of distributed systems, async processing, and operational reliability* Hands-on or strong interest in integrating predictive models and LLM APIs into product backends* Familiarity with Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices* Autonomous, product-minded, customer-focused, and able to collaborate with ML Engineers* Fluent in EnglishRequisitos principales* Flexible on-site and remote policy* Latest Apple equipment* Mental health wellbeing support* Office snacks* Location-specific benefits (health insurance, wellness allowances, commuter support, meal vouchers, gym memberships)

## Description

Experteer Overview Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.As a Backend Software Engineer (IC3) in Spendesk's AI u****amp; Data Products squad, you design and operate backend services that power AI-native features.You will productionize predictive models and LLM-driven capabilities, exposing them through robust APIs and services.You collaborate with ML Engineers, Product Managers, and Designers to turn AI outputs into reliable product experiences that automate tasks and improve decision-making.This role emphasizes production readiness, observability, and secure, scalable delivery with a strong customer impact.Compensaciones / Beneficios* Design, build, and operate backend services and APIs for AI/ML-powered features* Translate AI outputs into reliable backend behaviors for user-facing flows* Create a service layer enabling AI capabilities across product workflows with attention to latency, reliability, and security* Own deployment, monitoring, and maintainability of features for production readiness* Partner with ML Engineers to productionize predictive models and LLM capabilities* Integrate model-serving APIs or LLM calls with robust retries, fallbacks, and observability* Define evaluation and monitoring patterns for measurable intelligent product behavior* Contribute to reusable backend patterns for AI features across products* Build backend capabilities to automate tasks, anticipate user needs, and simplify workflows* Collaborate with Product and Design to turn ideas into concrete, impactful implementations* Balance rapid experimentation with long-term maintainability and trust* Instrument services with logs, tracing, and metrics for production visibility* Uphold standards on latency, resilience, and cost efficiency for AI services* Ensure secure data handling and privacy by default in financial contexts* Embrace ownership mindset: you build it, you run it* Collaborate with cross-functional teams to deliver end-to-end AI capabilities* Share backend reliability and AI feature delivery best practices across the orgResponsabilidades* Significant backend software engineering experience in production environments* Track record of designing and shipping reliable backend services with measurable impact* Experience in fast-paced, cross-functional product initiatives* Exposure to ML-enabled or AI-enabled product features is a plus* Strong xqbhyrx backend skills with TypeScript / Node.js or related technologies* Experience designing APIs and service layers for complex workflows* Understanding of distributed systems, async processing, and operational reliability* Hands-on or strong interest in integrating predictive models and LLM APIs into product backends* Familiarity with Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices* Autonomous, product-minded, customer-focused, and able to collaborate with ML Engineers* Fluent in EnglishRequisitos principales* Flexible on-site and remote policy* Latest Apple equipment* Mental health wellbeing support* Office snacks* Location-specific benefits (health insurance, wellness allowances, commuter support, meal vouchers, gym memberships)


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