Backend Software Engineer

About Epiq AI Labs

Epiq AI Labs develops AI-driven platforms for legal discovery and knowledge management, enabling law firms and legal service providers to manage litigation, process complex document sets, and extract actionable insights from large-scale legal data.

Role Overview

We are seeking a Backend Software Engineer with strong Python development and AI experience to design, build, and scale high-performance backend systems. In this role, you will work across the full product lifecycle, collaborating closely with product managers, frontend engineers, and AI/ML specialists to support AI-powered legal applications.

The ideal candidate has hands-on experience developing backend services in Python, working with AI-driven or data-intensive systems, and building reliable APIs and data pipelines at scale.

Key Responsibilities

• Design, develop, and maintain scalable backend systems for AI-driven legal applications.
• Build and maintain Python-based backend services and APIs for frontend and external integrations.
• Support and integrate AI/ML workflows, including data ingestion, processing, and model-driven services.
• Optimize backend systems for performance, scalability, reliability, and low latency.
• Implement efficient data structures and algorithms for large-scale, high-volume datasets.
• Collaborate with cross-functional teams to improve system reliability, workflows, and user experience.
• Write, review, and maintain clean, well-documented, and testable code following best practices.

Technologies

• Programming Languages: Python (must-have), C#
• Databases & Search: SQL Server, PostgreSQL, Solr, Qdrant
• Containers & Orchestration: Docker, Kubernetes
• CI/CD: GitHub Actions, ArgoCD

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's preferred).
• Strong hands-on experience in Python backend development (mandatory).
• Experience working with AI-driven systems, data-processing pipelines, or ML-enabled applications (mandatory).
• Proven experience building and maintaining production-grade backend systems.
• Solid understanding of distributed systems, API design, and data structures.
• Experience with high-volume data processing and server-side logic.
• Familiarity with containerized environments and cloud-native architectures.
• Strong problem-solving skills, attention to detail, and ability to adapt in an agile environment.
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.