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. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale. Epiq supports some of the world's largest and most complex legal matters, where document collections range from thousands to millions of records. As a Principal AI Platform Engineer, you will design and build the platform our AI agents and accelerators run on, including orchestration, retrieval, evaluation, observability, and the inference path that keeps all of it fast and affordable at production scale. This is a senior individual contributor role. You will set the technical direction that other engineers build on. AI Agents. Conversational systems that enable legal professionals to ask complex questions and receive evidence‑based answers grounded in case data. AI Accelerators. AI‑powered workflows that automate large‑scale document review tasks including summarization, translation, transcription, language detection, and OCR. Together, these solutions help legal teams reach defensible outcomes faster while reducing review costs and improving quality. Platform Engineering Build and own the platform capabilities that power AI agents, including orchestration, retrieval, model routing, tool integration, and reliability. Design retrieval systems across large‑scale legal document collections. Define stable APIs and data contracts for product teams. Evaluation & Quality Develop evaluation frameworks that measure accuracy, grounding, citation quality, and overall system performance. Build observability, tracing,



and replay capabilities that enable rapid troubleshooting and continuous improvement. Establish quality gates and monitoring to identify regressions before they reach production. Performance, Scale & Cost Drive decisions around model selection, inference strategies, caching, and routing while managing cost as a first‑class engineering metric. Implement governance, auditability, and human‑in‑the‑loop controls required for legal and regulated workflows. Ensure compliance with security, privacy, and data residency requirements. Technical Leadership Without Direct Reports Write the design docs and ADRs for consequential platform decisions, including the trade‑offs you rejected. Raise the engineering bar through code review, pairing, and mentoring. Partner with Product Management, legal domain experts, and Review Operations to turn ambiguous problems into shippable scope. Bachelor's or master’s degree in computer science or a related technical field, or equivalent practical experience. ~7+ years building production software, with a track record of owning systems end to end. ~ Experience building production AI/LLM systems, including retrieval‑augmented generation and agentic workflows. ~ Strong Python. Comfortable in a TypeScript codebase. ~ Experience with distributed systems, asynchronous and event‑driven architectures, and large batch data processing. ~ Demonstrated ownership of production reliability: instrumentation, on‑call,



incident response, and performance work driven by data rather than intuition. ~ Vector databases, search infrastructure, and information retrieval fundamentals. React and modern frontend work for internal evaluation and debugging tools. Legal technology, eDiscovery, compliance, investigations, or document review. Multi‑tenant SaaS platforms with strict data isolation requirements. Experience with PostgreSQL. #LI-KS1
* The Compensation range for this role is $150,000 CAD up to $300,000 CAD annually and may be eligible for an annual discretionary bonus.
Please also note AI may have been used in the screening process to assess suitability for the advertised role. Performance during screening and interview Nurture long‑term relationships Maximizes Performance Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals. Use data to identify improvement opportunities Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution. Resolve issues quickly using data and feedback It is Epiq’s policy to comply with all applicable equal employment chance 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

📌 Principal AI Platform Engineer (Toronto)
🏢 LegalTech Hub
📍 Toronto