Software Engineer AI (Fintech)

TL;DR

Software Engineer AI (Fintech): Building the backend foundations for conversational and agentic AI-powered product experiences with an accent on context handling, LLM orchestration, and tool calling. Focus on designing production-grade services for LLM integration via AWS Bedrock and creating scalable engineering patterns for AI-native features.

Location: Hybrid in Paris, London, or Barcelona. Outstanding remote candidates may be considered, but this is not a remote-first role.

Company

AI-powered spend management and procurement platform transforming company spending for businesses.

What you will do

• 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.
• Develop robust integration patterns for LLMs through AWS Bedrock, including retries, fallbacks, and cost-aware usage.
• Partner with Staff Engineers to translate high-level architectural direction into scalable engineering patterns.
• Own complex backend components end-to-end, from initial design and PoCs to production deployment and maintenance.
• Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.

Requirements

• Significant backend software engineering experience in production environments.
• Strong proficiency with TypeScript, Node.js, or adjacent technologies.
• Deep understanding of service design, asynchronous architectures, and resilient distributed systems.
• Practical experience or strong interest in integrating LLMs into production (AWS Bedrock, OpenAI, or Anthropic).
• Familiarity with Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices.
• Fluent in written and spoken English.

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.
• Background in SaaS, fintech, or regulated environments.

Culture & Benefits

• AI-first, product-led culture with an emphasis on fast prototyping and data-driven iteration.
• "You build it, you run it" ownership model for deployment and monitoring.
• Flexible on-site and remote policy with high-end Apple equipment.
• Mental health support through Moka.care.
• Location-specific benefits including health insurance, meal vouchers, and commuter support.

Hiring process

• HR screening call.
• Discussion with the Hiring Manager.
• Technical interview involving live coding and/or system design.
• Final interview with leadership.