About the position
At Epiq AI Labs, we're building an AI-driven platform for legal discovery and knowledge management. Our mission is to transform how law firms and legal service providers manage complex litigation, process documents, and uncover actionable insights. By empowering our partners with cutting-edge technology, this AI-driven platform enables the discovery of hidden connections, accelerates decision-making, and ultimately drives better legal outcomes. As an AI Research Engineer on the AIDA team, you will design, build, and enhance AIDA's knowledge architecture, focusing on scalability for extracting knowledge from unstructured data, deep analytical reasoning, and integration with large language models. You will work closely with end-product teams to refine AIDA's capabilities and lead a team of engineers focused on advancing knowledge-driven AI.
Responsibilities
- Expand and scale AIDA's knowledge architecture, enabling robust knowledge extraction and reasoning capabilities from unstructured data sources.
- Integrate knowledge structures with large language models within an agentic architecture for accurate question answering, reporting, and analysis within AIDA's environment.
- Work closely with end-product teams to ensure seamless integration of knowledge systems with real-world legal applications, optimizing for relevance and accuracy.
- Implement continuous testing and evaluation protocols on large-scale, real-world data to enhance AIDA's performance and adaptability.
- Oversee collaborations with data annotation teams to curate high-quality datasets, essential for building reliable models for knowledge construction.
- Participate in hiring and lead a team of engineers within Epiq AI Labs dedicated to advancing knowledge architecture.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
- Proven experience in designing and developing a knowledge architecture.
- Strong grasp of Backend languages: Python, C#, Java; Database systems: Lucene, PostgreSQL, Qdrant; Containerization and orchestration: Docker, Kubernetes; CI/CD tools: GitHub Actions, CircleCI, Gradle.
- Background in Computer Science, Software Engineering, or a related field.
- Strong written and verbal communication skills, with the ability to quickly incorporate feedback and uphold high-quality standards.
