AI Integration 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 a Backend Software Engineer focused on AI R&D Integration, you’ll play a critical role in developing and implementing backend solutions that bring advanced AI capabilities into the platform. You’ll work in close collaboration with our R&D team to rapidly iterate on new AI features, integrating experimental models and data-driven solutions into our product. This role requires an agile approach, as you’ll bridge the gap between R&D and production, iterating quickly and collaborating across functions to ensure that new capabilities seamlessly meet user needs.

Core Responsibilities
· Collaborate closely with AI R&D: Partner with R&D engineers to understand and integrate AI models, adapting backend systems to support experimental features and iterative improvements.
· Design and maintain scalable systems: Architect backend solutions that support high-performance AI-driven applications, balancing rapid development cycles with robust production quality.
· Develop APIs for AI-enhanced workflows: Build APIs that facilitate the integration of AI capabilities, ensuring seamless interaction between new features and core platform components.
· Optimize for performance and scalability: Continuously improve the backend infrastructure to meet the low-latency demands of data-intensive legal applications.
· Enable rapid iteration: Support a CI/CD environment that allows for fast prototyping and deployment of new AI features.

Technologies We Use

· Backend languages: Python, C#, Java

· Database systems: Lucene, PostgreSQL, Qdrant

· Containerization and orchestration: Docker, Kubernetes

· CI/CD and build tools: GitHub Actions, CircleCI, Gradle

What We Require

· Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

· Proven experience in backend development for live production environments, ideally with exposure to AI model integration.

· Strong grasp of data structures, distributed system architecture, and API design for microservices.

· Background in Computer Science, Software Engineering, or a related field.

· Ability to balance rapid iteration with code quality and production stability.