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# Backend Engineer (AI/ Legal Tech)

- **Company:** Saga Inc
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $36,000.0 - $60,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Distributed Systems, Node.Js, Software Architecture, Search Technologies, TypeScript, Large Language Models, Backend, Build Management, Codebase, Restful APIs
- **Published:** July 14, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p48zsf4ntr

## About the Role

* 3+ years of professional backend engineering experience with TypeScript and Node.js
 * Strong understanding of APIs, databases, distributed systems, and backend architecture
 * Experience designing and implementing solutions within existing production codebases
 * Experience operating and supporting backend services in production environments
 * A strong ownership mindset with a focus on reliability, maintainability, and continuous improvement
 * Clear written and verbal English communication skills and the ability to collaborate effectively across teams

## Description

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., * 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


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