Senior Software Engineer, Backend, AI Labs
epiqsystems · CAN-Toronto-ON-390 Bay Street, Suite 806 · Canada · On-site
Posted Sep 21, 2026
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At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.
Job Description:
Job Description
About Epiq AI Labs
Epiq AI Labs is the innovation and engineering hub behind Epiq's next-generation AI platform for corporate legal departments and global law firms. We operate as a startup within a global organization, focused on agentic AI systems, knowledge-driven reasoning, and enterprise-scale simulations. We are:
Fast, experimental, and product-obsessed
Highly collaborative, low-bureaucracy, deeply technical
Backed by the resources, data access, and distribution scale of a global ALSP
We are building foundational AI systems — intelligent agents, reasoning engines, knowledge bases, and structured workflows — that transform how litigation, investigations, compliance, and corporate knowledge work get done.
Our culture is that of a startup: high autonomy, high trust, rapid iteration, and a team that genuinely enjoys working together.
About the Role
You will build and operate the services behind our AI-driven legal platform: asynchronous processing, data pipelines, the data access layer, and authentication and authorization. These are load-bearing systems, owned end to end rather than in slices — and as the platform grows, the surface you own grows with it.
Scalability and reliability are requirements, not later additions. Services should absorb growth in tenants, data volume, and concurrency without redesign, tolerate partial failure through retry, idempotency, and graceful degradation, and carry enough instrumentation to diagnose production behavior. We build on a modern stack and treat design as real work: choices about data models, service boundaries, and processing patterns are reasoned through and documented, made alongside senior engineers rather than inherited from them. The platform is early enough that what you build now will still be in its foundation years from now.
Key Responsibilities
Implement, test, and operate backend services and APIs that support our agentic AI platform
Build and maintain message-queue-based asynchronous processing, including retry and idempotency handling, dead-letter processing, and failure recovery
Contribute to data pipelines that ingest, parse, store, and index large volumes of documents
Implement authentication and authorization functionality using OAuth2, OIDC, and SAML within established patterns, including role-based access control for multi-tenant environments
Design and optimize PostgreSQL schemas and queries, and carry out schema…