Backend Engineer, Foundations

Equall • New York City, NY

2d

About The Position

Equall is building the legal infrastructure for the private markets, creating a new system for verifying, tracking, and managing corporate legal reality. Their AI-native platform extracts, structures, and reconciles corporate legal information to produce auditable outputs like cap table tie-out reports, governance dashboards, and personnel summaries. Equall handles due diligence and day-to-day advisory workflows, verifying a company's legal state and identifying issues in real-time. This role is crucial as Equall enters a period of rapid growth, scaling its customer base and product to cover more of the venture and emerging companies ecosystem, and expanding into private equity and M&A. Equall is composed of leaders in legal, engineering, and AI, focused on customer needs, building with purpose, and striving for excellence to transform corporate legal work and legal ground truth determination.

Requirements

• Strong experience building production backend systems in Python, Go, Rust, or Zig
• Experience designing and operating data pipelines at scale
• Deep familiarity with graph databases like Neo4j — modeling, querying, and running them in production
• Strong opinions on the design of public APIs — ergonomics, versioning, and evolvability
• Comfort operating services on Kubernetes
• Excellent judgment on system design tradeoffs and a bias toward shipping

Nice To Haves

• Experience building a graph database (not just using one)
• Experience designing DAG-based processing or workflow orchestration systems (Prefect, Airflow, Dagster, Temporal, or similar)
• Experience building agentic systems or integrating LLM-powered workflows into backend infrastructure
• Experience building control systems or other feedback-driven coordination infrastructure
• Experience with Kafka or similar event-streaming platforms

Responsibilities

• Design, build, and scale the graph infrastructure and data pipelines that power Equall's platform
• Architect and implement the public APIs that internal services, agents, and customers rely on
• Build DAG-based processing on Prefect for extracting, transforming, and reconciling legal data from source documents
• Partner with AI researchers and engineers to integrate agentic systems into production workflows
• Operate our services on Kubernetes — deployment, observability, and performance
• Shape engineering standards and architecture for a fast-growing backend team

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed