AI Research Engineer

It's fun to work at a company where people truly believe in what they are doing!

Job Description:

About Epiq AI Labs 
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.

The Role

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.

Core Responsibilities

• Knowledge Architecture Development: Expand and scale AIDA’s knowledge architecture, enabling robust knowledge extraction and reasoning capabilities from unstructured data sources.

• Agentic LLM Integration: Integrate knowledge structures with large language models within an agentic architecture for accurate question answering, reporting, and analysis within AIDA’s environment.

• Product Collaboration: Work closely with end-product teams to ensure seamless integration of knowledge systems with real-world legal applications, optimizing for relevance and accuracy.

• Evaluation and Testing: Implement continuous testing and evaluation protocols on large-scale, real-world data to enhance AIDA’s performance and adaptability.

• Data Curation and Annotation: Oversee collaborations with data annotation teams to curate high-quality datasets, essential for building reliable models for knowledge construction.

• Team Management: Participate in hiring and lead a team of engineers within Epiq AI Labs dedicated to advancing knowledge architecture.

Technologies We Use

• Backend languages: Python, C#, Java.

• Database systems: Lucene, PostgreSQL, Qdrant.

• Containerization and orchestration: Docker, Kubernetes.

• CI/CD tools: GitHub Actions, CircleCI, Gradle.

Your specific salary will be determined based on several factors:

• Location-based market rate for the role

• Your abilities in relation to the job specification

• Performance during screening and interview

• Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request.  Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.