Backend Engineer (AI/ Legal Tech)

Saga is a legal innovation company on a mission to remove the friction between legal expertise and real-world impact, so lawyers can focus on what matters the most: people, ethics, and impact. Founded in Norway and built for the legal profession from day one, we integrate with local legal sources across jurisdictions and are currently available in 12 languages. In just 18 months, we've grown to 70+ employees and 5,000+ users across 20+ countries - with market leadership in Norway and the Netherlands, and active expansion across Europe. We believe technology shouldn't replace legal reasoning, but strengthen it - so the law can work as it's meant to: aligned, accountable, and capable of delivering justice for everyone. Your role as Backend Engineer As a Backend Engineer, you will design and build the systems that power AI-driven legal workflows. You'll own backend services end-to-end, from TypeScript/Node.js REST APIs and data models to deployment and ongoing operation. Working closely with engineering, legal, and product teams, you'll develop scalable features including document processing, semantic search, vector search, and RAG-based capabilities powered by LLMs from providers such as OpenAI, Anthropic, and Google. You'll help shape technical architecture while balancing innovation with practical improvements to existing systems. Success in this role comes from delivering reliable, secure, and maintainable systems that create measurable impact for customers. What you'll be doing Design, build, and maintain backend services, REST APIs, and data models using TypeScript and Node.js Develop document ingestion, processing, semantic search, vector search, and RAG-based systems leveraging LLMs from providers such as OpenAI, Anthropic, and Google Build and operate asynchronous processing pipelines, background workers, and long-running jobs Improve performance, reliability, scalability, and security across distributed, multi-tenant systems and databases Collaborate with engineering, legal, and product teams to deliver customer-facing features and contribute to architectural decisions Monitor, maintain, and continuously improve production systems and platform capabilities