Research Engineer

• Develop AI-Oriented Workflows: Build advanced AI workflows such as retrieval-augmented generation (RAG) pipelines, prompt chaining, contract automation, and interactive Q&A assistants for attorneys and legal support teams.
• Full-Stack Engineering: Develop front-end systems using modern and scalable frameworks (React, TypeScript, Vue) back-end systems with Python or Node.js, and integration with internal and third-party systems.
• Cross-Functional Collaboration: Work with Cloud Architects, IT Security, UI/UX Designers, Application Developers, and Data Governance teams to ensure compliance, scalability, and reliability.
• Iterative Prototyping with Stakeholders: Rapidly build prototype solutions, engage legal users in feedback cycles, and refine tools to deliver high utility and usability.
• Software Lifecycle Management: Build and maintain CI/CD pipelines and GitHub Action workflows, ensuring adherence to firm SDLC and data governance guidelines while fostering collaboration between teams.
• Evaluation and Innovation: Evaluate third-party AI tools and vendor offerings through hands-on testing, code-based validation, and performance benchmarking. Strive to deliver tailored, maintainable engineering solutions that align tightly with the firm’s unique legal needs.
• Security Focus: Using a strong understanding of secure development practices, apply principals from industry standard frameworks (OWASP Top 10, SANS CWE, NIST). Conduct code reviews, applying least-privilege principals in design, and implementing automated security checks in CI/ CD pipelines.

IT AI Innovation Engineer

Senior AEM Co-Innovation Engineer

Senior AI Machine Learning Research Engineer

Software Research Engineer