Backend Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Backend Software Engineer (AI): Building and optimizing backend foundations for AI-native product experiences with an accent on conversational and agentic systems. Focus on designing scalable services for context handling, LLM orchestration via AWS Bedrock, and ensuring production-grade reliability and observability.
Location: Hybrid setup in Paris, London, or Barcelona. Outstanding remote candidates may be considered, but this is not a remote-first role.
Company
is an AI-powered spend management and procurement platform that simplifies company spending, payment cards, and accounting automation for thousands of businesses.
What you will do
- Design and operate backend services powering conversational and agentic AI features.
- Implement robust patterns for LLM integration, including retries, fallbacks, and cost-aware usage.
- Orchestrate multi-step workflows combining reasoning, tool usage, and product actions.
- Partner with staff engineers to define architecture for AI-native product experiences.
- Ensure high standards of observability, security, and performance for production services.
- Collaborate with product, design, and ML teams to turn concepts into reliable backend capabilities.
Requirements
- Significant backend software engineering experience in production environments.
- Strong proficiency in TypeScript and Node.js.
- Fluency in service design, asynchronous architectures, and distributed systems.
- Experience integrating LLMs into production systems (e.g., AWS Bedrock, OpenAI, Anthropic).
- Fluent in written and spoken English.
- Ability to work effectively in a hybrid environment in Paris, London, or Barcelona.
Nice to have
- Experience with conversational or agentic systems.
- Experience with tool-calling, guardrails, and evaluation loops for LLMs.
- Background in SaaS, fintech, or regulated environments.
- Experience with rich content processing or multimodal service design.
Culture & Benefits
- Flexible hybrid work policy.
- Latest Apple equipment provided.
- Access to Moka.care for mental health support.
- Location-specific benefits including health insurance, wellness allowances, and meal vouchers.
- Collaborative, AI-first, and product-led engineering culture.
Hiring process
- HR screening call.
- Discussion with the Hiring Manager.
- Technical interview (live coding and/or system design).
- Final interview with leadership.
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