Software Engineer AI - Paris/London/Barcelona

Навыки

• AI-агенты
• AWS
• Распределённые системы
• Excel
• GitHub Actions
• Jaeger / OpenTelemetry
• Kafka

О компании и продукте

• As 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 that:
• manage conversations and contextual state
• support the ingestion and retrieval of rich content such as PDFs and images

Задачи

• Backend services for AI-native experiences
• Design, 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 design
• Partner 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 systems
• Own 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 excellence
• Instrument 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 collaboration
• Collaborate 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
• Build the backend foundations for Spendesk’s AI-native experiences

Требования

• Experience & background
• You have
• Significant experience on backend software engineering experience 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
• This is a hands-on role for an engineer who combines strong backend fundamentals with solid fluency in LLM-enabled systems

Будет плюсом

• 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?
• 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 leadershi
• As we are an international team, please submit your application and CV in English

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