Backend Engineer, Foundations

Equall • New York, NY

47d

About The Position

Equall is building the legal infrastructure for the private markets — a new system for how corporate legal reality is verified, tracked, and continuously managed. Our AI-native platform extracts, structures, and reconciles corporate legal information, producing auditable outputs such as a cap table tie-out reports, governance dashboards, and personnel summaries grounded in source documents. Equall executes workflows end to end across both due diligence and day-to-day advisory work, verifying a company's legal state and surfacing actionable issues in real time. This opportunity comes at a pivotal moment in Equall's journey. We are working with leading law firms in ECVC and are now entering a period of rapid growth as we scale both our customer base and our product — extending coverage across the venture and emerging companies ecosystem and expanding into private equity and M&A. Equall brings together leaders across legal, engineering, and AI to deliver transformative value. We listen closely to our customers, build with purpose, and work with both enthusiasm and a steadfast commitment to excellence — driven to reshape how corporate legal work is executed and how legal ground truth is determined. If you are interested in playing an impactful role in this mission, we would be excited to hear from you.

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