Software Engineer Ai - Paris/London/Barcelona

About the RoleAs a Backend Software Engineer (IC3), you will help create the backend layer that supports agentic and conversational experiences for Spendesk end users.Your Scope Will Include Services Thatmanage conversations and contextual statesupport the ingestion and retrieval of rich content such as PDFs and imagesintegrate LLMs through AWS Bedrock with robust operational patternsconnect to MCP-compatible services and tools exposed by other squadsorchestrate multi?step workflows combining reasoning, tool usage, and product actionsThis 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.Our tech environmentTypeScriptNode.js for backend and banking applicationsReact on the frontendPostgreSQL for data storage; Redis, SQS, and Kafka for jobs, queues, and event streamingTerraform to define infrastructure as codeKubernetes, Lambdas, and Step Functions to run our applicationsAWS as our cloud provider, including AWS Bedrock for LLM accessGitHub Actions for CIKey responsibilitiesBackend services for AI?native experiencesDesign, build, and operate backend services and APIs that power conversational and agentic AI features.Implement the services needed for context management, tool invocation, rich content access, and multi?step orchestration.Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost?aware usage.Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.Architecture & transversal system designPartner with the IC5 Staff Engineer to implement the architecture supporting AI?native product experiences.Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.Help define how applicative squads can expose MCP?compatible tools and capabilities to central AI services.Translate high?level architectural direction into concrete technical implementations and scalable engineering patterns.Hands?on delivery of complex systemsOwn complex backend components end?to?end, from design and implementation to deployment and maintenance.Contribute directly to proof?of?concepts and experiments, then harden the successful ones into reliable production services.Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.Bring pragmatism to delivery, balancing speed of experimentation with long?term platform quality.Observability, performance & operational excellenceInstrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.Contribute to a strong “you build it, you run it” culture, where backend engineers own what they ship in production.Ensure AI?related services are built with secure coding and responsible data handling practices.Cross?functional collaborationCollaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.Partner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems.Help create shared engineering knowledge around LLM integration, async workflows, and reliable AI feature delivery.What we’re looking forExperience & backgroundSignificant experience on backend software engineering in production environments.A strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability.Experience contributing to complex technical projects in fast?paced product organizations.Ideally, hands?on exposure to AI?enabled or LLM?backed product features in production.Technical & data skillsStrong backend engineering skills with TypeScript / Node.js or adjacent technologies.Good fluency in service design, asynchronous architectures, and resilient distributed systems.Experience integrating APIs and external services into robust product backends.Practical experience, or strong interest, in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic.Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices.Leadership & collaborationHighly autonomous and comfortable owning ambiguous technical problems from framing to delivery.Able to work effectively in partnership with a Staff Engineer while independently delivering complex components.Product?minded, customer?focused, and capable of translating business needs into backend systems.Curious about AI?native product design and motivated by building durable foundations, not just short?term demos.Fluent in written and spoken English, our business language.Nice To HaveExperience with conversational or agentic systemsExperience integrating LLMs with tool?calling, guardrails, and evaluation loopsExperience with rich content processing, document workflows, or multimodal service designExperience in SaaS, fintech, or regulated environmentsNot 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.How we workAI?first, product?led: prototype fast, dog?fooding, iterate based on dataYou build it, you run it: owning deployment, monitoring, and continuous improvementsCollaboration by default: PM, Design, ML Engineering, and Backend Engineering work together toward outcomesPragmatic engineering: we optimize for impact, not theoretical perfectionWhat success looks like in your first 90 daysYou’ve shipped or materially advanced a production?grade backend component that supports conversational or agentic AI experiences at Spendesk.You’ve partnered effectively with the IC5 Staff Engineer to turn architectural direction into reliable, reusable backend services.You’ve integrated at least one LLM?backed capability through AWS Bedrock with appropriate observability, retries, and operational safeguards in place.You’ve improved one shared engineering capability, for example orchestration patterns, service contracts, or cost/reliability monitoring, that can be reused by future AI features.Location and ways of workingWe value regular in?person collaboration.We’re primarily hiring in Paris, London or Barcelona with a flexible hybrid setup.Outstanding remote candidates may be considered, but this is not a remote?first role.BenefitsWe 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.Latest Apple equipment - the tools you need to excelAccess to Moka.care - for emotional and mental health wellbeingGreat office snacks - to fuel your dayA positive team to work with daily!Diversity & InclusionAt 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.#J-*****-Ljbffr

Experience & background Significant experience on backend software engineering in production environments. A strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability. Experience contributing to complex technical projects in fast?paced product organizations. Ideally, hands?on exposure to AI?enabled or LLM?backed product features in production. Technical & data skills Strong backend engineering skills with TypeScript / Node.js or adjacent technologies. Good fluency in service design, asynchronous architectures, and resilient distributed systems. Experience integrating APIs and external services into robust product backends. Practical experience, or strong interest, in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic. Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices. Leadership & collaboration Highly autonomous and comfortable owning ambiguous technical problems from framing to delivery. Able to work effectively in partnership with a Staff Engineer while independently delivering complex components. Product?minded, customer?focused, and capable of translating business needs into backend systems. Curious about AI?native product design and motivated by building durable foundations, not just short?term demos. Fluent in written and spoken English, our business language. Nice To Have Experience with conversational or agentic systems Experience integrating LLMs with tool?calling, guardrails, and evaluation loops Experience with rich content processing, document workflows, or multimodal service design Experience in SaaS, fintech, or regulated environments Not ticking every box?