Sr/Staff Backend Engineer - Perm - Relocation to SF

As a Senior Backend Engineer, you’ll develop the core infrastructure behind an AI-native platform that processes and analyzes millions of documents.

You’ll help build reliable, scalable backend systems that enable advanced AI capabilities while collaborating with cross-functional teams to turn emerging technologies into production-ready solutions.

What You’ll Build

• Design and build backend systems that reliably process and analyze millions of complex documents.
• Develop scalable pipelines that orchestrate large language models (LLMs), structured data extraction, and document analysis workflows.
• Build high-performance search and retrieval systems focused on accuracy, scalability, and speed.
• Improve the technical foundation of a rapidly growing AI platform.
• Partner with product, engineering, and domain experts to deliver new AI-powered capabilities.
• Help evaluate and implement new AI technologies as the landscape continues to evolve., #Artificial Intelligence
• Large Language Models (LLMs)
• Agentic Retrieval-Augmented Generation (RAG)
• AI orchestration
• Document intelligence

Backend

• Distributed systems
• Backend services
• Scalable data processing pipelines

Search & Data

• Search and retrieval systems
• Structured data extraction
• Document clustering
• Large-scale document processing

Node.jsRAGLLMJavaScriptDistributed Systems Engineering, * Significant professional experience building backend software for production environments with a strong focus on scalable, distributed systems.

• Proven experience designing and maintaining large-scale backend services and data processing infrastructure.
• Experience building systems involving LLMs, AI pipelines, retrieval systems, search technologies, or large-scale document processing.
• Strong understanding of system architecture, scalability, reliability, and performance optimization.
• Experience collaborating across engineering and product teams to deliver customer-focused software.
• Demonstrated ability to balance engineering excellence with practical business impact.
• Strong ownership mindset, resourcefulness, and ability to execute effectively in fast-moving environments., * Experience working in a startup or other high-growth technology company.
• Experience building AI-native or machine learning-powered applications.
• Familiarity with document intelligence, knowledge retrieval, or enterprise search platforms.
• Interest in helping build and scale an engineering organization during a period of rapid growth.

US$245K - 485K, * Work on technically ambitious AI challenges with meaningful real-world impact.

• Help shape a rapidly growing product from its early stages.
• Collaborate with a highly product-focused engineering team.
• Solve complex technical problems at the intersection of AI and distributed systems.
• Join a collaborative, fast-paced startup environment with opportunities to influence technical direction.
• Work primarily from the San Francisco office with hybrid flexibility.
• Visa sponsorship and relocation assistance are available for international candidates.

Compensation & Benefits

• Base salary: USD $245,000-$485,000, depending on experience, expertise, and overall fit.
• Visa sponsorship for eligible international candidates.
• Relocation assistance.
• Hybrid flexibility within an in-office culture.

Build AI systems that are transforming how businesses review, search, and understand complex agreements.

Join a fast-growing, venture-backed AI software company developing an AI-native platform for document intelligence. You’ll work on challenging backend problems involving distributed systems, large-scale data processing, LLM orchestration, and search while helping deliver meaningful productivity gains for enterprise customers., This venture-backed AI company is building software that automates the analysis of complex business agreements using large language models. Since launching its platform, the company has experienced rapid growth, significant customer adoption, and strong commercial momentum, serving leading global enterprises across multiple industries.

Its engineering organization is focused on advancing AI-powered document intelligence through scalable infrastructure, innovative retrieval systems, and production-grade machine learning applications.