ph3About the Role /h3pAs a Backend Software Engineer (IC3), you will help create the backend layer that supports agentic and conversational experiences for Spendesk end users. /ph3Your Scope Will Include Services That /h3ullimanage conversations and contextual state /lilisupport the ingestion and retrieval of rich content such as PDFs and images /liliintegrate LLMs through AWS Bedrock with robust operational patterns /liliconnect to MCP-compatible services and tools exposed by other squads /liliorchestrate multi‑step workflows combining reasoning, tool usage, and product actions /li /ulpThis is not just about integrating services’ features to an LLM. You will build production‑grade services that need to be reliable, observable, secure, and designed for long‑term extensibility. You will contribute to reusable patterns and collaborate with ML Engineers, Product Managers, Designers, and applicative squads to make these foundations useful across multiple AI use cases. /ph3Our tech environment /h3ulliTypeScript /liliNode.js for backend and banking applications /liliReact on the frontend /liliPostgreSQL for data storage; Redis, SQS, and Kafka for jobs, queues, and event streaming /liliTerraform to define infrastructure as code /liliKubernetes, Lambdas, and Step Functions to run our applications /liliAWS as our cloud provider, including AWS Bedrock for LLM access /liliGitHub Actions for CI /li /ulh3Key responsibilities /h3h3Backend services for AI‑native experiences /h3ulliDesign, build, and operate backend services and APIs that power conversational and agentic AI features. /liliImplement the services needed for context management, tool invocation, rich content access, and multi‑step orchestration. /liliBuild robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost‑aware usage. /liliEnsure these services are designed for production from day one, with strong standards on reliability, maintainability, and security. /li /ulh3Architecture transversal system design /h3ulliPartner with the IC5 Staff Engineer to implement the architecture supporting AI‑native product experiences. /liliContribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads. /liliHelp define how applicative squads can expose MCP‑compatible tools and capabilities to central AI services. /liliTranslate high‑level architectural direction into concrete technical implementations and scalable engineering patterns. /li /ulh3Hands‑on delivery of complex systems /h3ulliOwn complex backend components end‑to‑end, from design and implementation to deployment and maintenance. /liliContribute directly to proof‑of‑concepts and experiments, then harden the successful ones into reliable production services. /liliReview code, challenge design decisions, and raise the quality bar on backend engineering within the squad.



/liliBring pragmatism to delivery, balancing speed of experimentation with long‑term platform quality. /li /ulh3Observability, performance operational excellence /h3ulliInstrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration. /liliHelp define and uphold quality standards around latency, failure handling, cost efficiency, and resilience. /liliContribute to a strong “you build it, you run it” culture, where backend engineers own what they ship in production. /liliEnsure AI‑related services are built with secure coding and responsible data handling practices. /li /ulh3Cross‑functional collaboration /h3ulliCollaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities. /liliPartner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems. /liliHelp create shared engineering knowledge around LLM integration, async workflows, and reliable AI feature delivery. /li /ulh3What we’re looking for /h3h3Experience background /h3ulliSignificant experience on backend software engineering in production environments. /liliA strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability. /liliExperience contributing to complex technical projects in fast‑paced product organizations. /liliIdeally, hands‑on exposure to AI‑enabled or LLM‑backed product features in production. /li /ulh3Technical data skills /h3ulliStrong backend engineering skills with TypeScript / Node.js or adjacent technologies. /liliGood fluency in service design, asynchronous architectures, and resilient distributed systems. /liliExperience integrating APIs and external services into robust product backends. /liliPractical experience, or strong interest, in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic. /liliFamiliarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices. /li /ulh3Leadership collaboration /h3ulliHighly autonomous and comfortable owning ambiguous technical problems from framing to delivery. /liliAble to work effectively in partnership with a Staff Engineer while independently delivering complex components. /liliProduct‑minded, customer‑focused, and capable of translating business needs into backend systems.



/liliCurious about AI‑native product design and motivated by building durable foundations, not just short‑term demos. /liliFluent in written and spoken English, our business language. /li /ulh3Nice To Have /h3ulliExperience with conversational or agentic systems /liliExperience integrating LLMs with tool‑calling, guardrails, and evaluation loops /liliExperience with rich content processing, document workflows, or multimodal service design /liliExperience in SaaS, fintech, or regulated environments /li /ulpNot ticking every box? We’d still love to hear from you. At Spendesk, we value skills, potential and diverse experiences. If this role excites you and you believe you could contribute, we encourage you to apply. /ph3How we work /h3ulliAI‑first, product‑led: prototype fast, dog‑fooding, iterate based on data /liliYou build it, you run it: owning deployment, monitoring, and continuous improvements /liliCollaboration by default: PM, Design, ML Engineering, and Backend Engineering work together toward outcomes /liliPragmatic engineering: we optimize for impact, not theoretical perfection /li /ulh3What success looks like in your first 90 days /h3ulliYou’ve shipped or materially advanced a production‑grade backend component that supports conversational or agentic AI experiences at Spendesk. /liliYou’ve partnered effectively with the IC5 Staff Engineer to turn architectural direction into reliable, reusable backend services. /liliYou’ve integrated at least one LLM‑backed capability through AWS Bedrock with appropriate observability, retries, and operational safeguards in place. /liliYou’ve improved one shared engineering capability, for example orchestration patterns, service contracts, or cost/reliability monitoring, that can be reused by future AI features. /li /ulh3Location and ways of working /h3pWe value regular in‑person collaboration. We’re primarily hiring in Paris, London or Barcelona with a versátil hybrid setup. Outstanding remote candidates may be considered, but this is not a remote‑first role. /ph3Benefits /h3pWe also offer 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. /pulliLatest Apple equipment — the tools you need to excel /liliAccess to Moka.care — for emotional and mental health wellbeing /liliGreat office snacks — to fuel your day /liliA positive team to work with daily! /li /ulh3Diversity Inclusion /h3pAt Spendesk, we’re committed to fostering an environment where all differences are encouraged, supported and celebrated. We’re building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply. /p /p #J-18808-Ljbffr

📌 Software Engineer AI - Paris/London/Barcelona
🏢 Spendesk
📍 Barcelona