Software Engineer AI in London

Requirements

• Significant 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.
• Hands-on exposure to AI-enabled or LLM-backed product features in production is preferred.
• Strong backend engineering skills with Type Script / 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, Open AI, or Anthropic.
• Familiarity with technologies such as Kafka, SQS, Step Functions, Postgre SQL, 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.
• Experience with conversational or agentic systems is a plus.
• Experience integrating LLMs with tool-calling, guardrails, and evaluation loops is a plus.
• Experience with rich content processing, document workflows, or multimodal service design is a plus.
• Experience in Saa S, fintech, or regulated environments is a plus.

Responsibilities

• Design, build, and operate backend services and APIs that power conversational and agentic AI features.
• Implement services 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 services are production-ready 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.

Technologies

• Agentic AI
• AI
• AWS
• Backend
• Support
• Kafka
• LLM
• MCP
• Postgre SQL
• Security
• Type Script
• Node JS
• Cloud
• Exposed
• Redis

More

We are Spendesk, the AI-powered spend management and procurement platform that transforms company spending.

We simplify procurement, payment cards, expense management, invoice processing, and accounting automation, giving finance leaders visibility and control across company spend, including multi-entity structures.

We support over 200,000 users across brands such as Sound Cloud, Gousto, Sum Up, and Bloom & Wild, and we have offices in the United Kingdom, France, Spain, and Germany.

We value regular in-person collaboration and are primarily hiring in Paris, London, or Barcelona with a flexible hybrid setup; outstanding remote candidates may also be considered.

Our team works in an AI-first, product-led, collaborative, and pragmatic environment, and we offer benefits such as flexible on-site and remote policy, latest Apple equipment, access to Moka. care, great office snacks, and location-specific benefits including health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships.

We are committed to diversity, inclusion, and building a culture where everyone feels welcome.

• last updated 36 week of 2026
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