Filevine

Backend Engineer

• End-to-End Development: Architect, build, and deploy features across the entire stack—designing the database schema, building performant Python APIs, and implementing the UI/UX in React Native when needed.
• Mobile Architecture: Maintain high-performance mobile applications, managing state, offline capabilities, and synchronisation with backend services.
• Backend Engineering: Develop and maintain scalable, asynchronous server-side logic and RESTful APIs using Python and FastAPI to support mobile functionality.
• Workflow orchestration: Integrate solutions developed by the ML teams for world-class Speech-To-Text technology in Temporal.
• Quality Assurance: Write comprehensive tests across the stack (Unit tests for Python via Pytest, Jest/Detox for Mobile) to ensure stability and reliability.
• Maintenance & Support: Troubleshoot production issues that span from the mobile client to server-side infrastructure.
• Monitoring & Observability: Maintain and monitor kubernetes infrastructure with regard to load balancing and autoscaling using tools like Prometheus and New Relic.
• Innovation: Lead initiatives to improve developer experience, CI/CD pipelines for mobile, and API performance.
• Code Reviews: Conduct detailed code reviews for both mobile (JS/TS) and backend (Python) codebases.

Senior Product Engineer – Full Stack, Python/React Native

• Develop and architect high-performance mobile applications utilizing React Native (Expo 54+) and TypeScript
• Write and maintain native code (Swift, Kotlin) when necessary to bridge gaps between React Native and platform-specific APIs
• Perform routine maintenance, bug fixes, and updates for Filevine’s mobile applications on both iOS and Android platforms
• Ensure software quality by writing automated tests (Detox, Jest), optimizing performance
• Lead initiatives in mobile architecture and process improvement, keeping up to date with the latest React Native architecture (Fabric, TurboModules)
• Analyze, troubleshoot, and resolve complex production issues related to mobile deployments and device compatibility
• Conduct detailed and constructive code reviews to maintain high code quality standards
• Use and improve workflows around AI tooling (Claude Code, Cursor)

Senior Product Engineer – React Native, Swift, Kotlin

Frontend Engineer

• UI Development: Build responsive, high-performance web interfaces for complex form rendering, data entry, and validation using modern JavaScript frameworks (React, Vue, or Angular).
• User Experience: Collaborate with product designers to translate wireframes into pixel-perfect, accessible user experiences that simplify complex legal workflows.
• Integration: Connect front-end components with backend APIs and AI services to display real-time form mapping results and validation errors.
• Quality Assurance: Write unit and integration tests for UI components to ensure defect-free releases and minimize "escape rates".
• Optimization: Optimize application speed and rendering performance, ensuring the platform can handle large, multi-page forms without lag.
• AI Utilization: actively use AI-driven development tools to generate boilerplate code, write tests, and troubleshoot styling issues to maintain high velocity.

Senior Front-End Engineer, AI Forms Platform

QA Engineer

• Design and maintain evaluation harnesses (evals) to measure the accuracy of AI auto-mapping models.
• Build robust, automated test suites (end-to-end and integration) that run within our CI/CD pipelines.
• Maintain and expand "golden datasets" of perfectly mapped forms.
• Collaborate with developers to identify "model quality variance" and implement gates for low-confidence predictions.
• Verify data integrity during the migration of pilot customers from the legacy platform.
• Leverage LLMs and AI coding assistants to write test scripts and generate edge-case scenarios.

QA Engineer – AI Forms Platform

Full-stack Engineer

• Architect & Build: Design and implement the backend infrastructure for a scalable, AI-driven forms engine that supports family law, workers' comp, and bankruptcy verticals.
• AI Integration: Implement and optimize "AI-first" workflows, including auto-mapping models and evaluation harnesses to automate the conversion of PDF forms into digital workflows.
• Legacy Migration: Lead the technical strategy for migrating data and logic from a legacy platform, ensuring zero data loss and maintaining compliance standards.
• Performance & Scale: Ensure the platform is "e-filing ready" and capable of handling high-volume, concurrent usage from large enterprise and government clients.
• Mentorship & Review: Conduct code reviews and provide technical guidance to ensure high-quality standards, serving as a key "knowledge bridge" in the absence of the Lead Architect.
• Tooling & DevOps: Collaborate with SREs to build robust CI/CD pipelines, observability tools, and automated diff/repair mechanisms for form updates.

Senior Full-Stack Engineer, AI Forms Platform

Senior Full-Stack Engineer

DevOps Engineer

• Architect and deploy secure, scalable infrastructure using Terraform, CloudFormation, or similar tools to support the new Forms Platform.
• Ensure the platform meets strict SLA requirements for enterprise clients, minimizing downtime and "P1 incidents".
• Implement comprehensive monitoring, logging, and alerting (Datadog, New Relic, etc.) to provide deep visibility into AI model performance and system health.
• Design architecture that aligns with SOC standards and ensures proper handling of PII/PHI data and audit trails for model outputs.
• Build and maintain efficient CI/CD pipelines to support the "tapering" of legacy systems and the rapid deployment of new features.
• Lead incident response efforts for the Forms Platform and conduct post-mortems to drive continuous improvement.
• Aggressively automate manual operations tasks using scripting (Python/Go) and AI tools to reduce toil.

Site Reliability Engineer – AI Forms Platform

Attorney

• Perform high-volume review of ingested court data (opinions, rules, dockets), comparing AI outputs against original source documents to correct metadata errors and ensure accuracy.
• Collaborate with the engineering team to define how we measure success, helping to create the "Gold Standard" test sets and validation criteria used to grade our AI models.
• Identify and document systemic errors in the data (e.g., "The system consistently misidentifies Plaintiff names in Texas District Courts") to help the backend team improve their ingestion logic.
• Assist in mapping the relationships between courts and judges, ensuring our digital ontology accurately reflects the hierarchy and structure of the US legal system.
• Regularly audit the platform to spot "hallucinations" or defects, ensuring defect-free releases and minimizing escape rates.
• Actively use AI-driven tools to generate test cases, automate routine checks, and troubleshoot inconsistencies to maintain high velocity.

Legal Data Specialist

• Content Surveillance: Proactively monitor federal (USCIS) and state court websites for updates to critical legal forms, ensuring Filevine is never behind on compliance.
• AI Validation: Review and validate the output of our "AI auto-mapping" models, correcting logic errors and ensuring fields map correctly to Filevine project data (e.g., verifying that "Alien Registration Number" maps to the correct database field).
• Spec Creation: Translate complex legal form logic (e.g., "If box A is checked, page 4 is required") into clear, actionable technical specifications for the engineering team.
• Support Coordination: Act as the primary liaison for the Support and Implementation teams, creating documentation and training materials to resolve customer form issues without escalating to engineering.
• Golden Dataset Management: Curate and maintain the "Golden Datasets" (perfectly filled example forms) used by QA to test the system before every release.
• Risk Mitigation: Conduct final compliance checks on high-stakes forms (like Immigration I-140s) to prevent "P1 incidents" and reduce operational risk for our enterprise clients.
• Process Optimization: Use AI tools to rapidly compare old vs. new PDF versions and generate change logs, reducing the time it takes to spec a new form by 70%+.