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Spendesk Logo Spendesk · IT - Software Development

Software Engineer AI

France, Paris · Job Posted June 09, 2026
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Job Description

Spendesk is looking for a Backend Software Engineer (IC3) to join our PDE (Product, Design & Engineering) organization and help shape the technical foundations of our next generation of AI-powered product experiences. This is a hands-on role for an engineer who combines strong backend fundamentals with solid fluency in LLM-enabled systems. You will work on the technical foundations behind conversational and agentic experiences: backend services for context handling, orchestration, tool calling, and reliable interactions with LLMs and applicative systems.

Job Responsibility

  • 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
  • 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
  • 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
  • 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
  • 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

Requirements

  • 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
  • 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
  • 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

What we offer

  • Flexible on-site and remote policy
  • Latest Apple equipment
  • Access to Moka.care — for emotional and mental health wellbeing
  • Great office snacks
  • A positive team to work with daily
  • Location-specific benefits tailored to each market, including health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships
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