Principal Ai Platform Engineer

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: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 write production code;
own significant components end to end. You will set the technical direction that other engineers build on. You will also mentor engineers across our Toronto, US, and India teams through design reviews, code reviews, and pairing.You will work across two product areas: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.What You'll Do
Platform EngineeringBuild 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.Develop shared platform services including prompt management, caching, rate limiting, and cost attribution.Define stable APIs and data contracts for product teams.Evaluation & QualityDevelop 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 & CostOptimize latency, throughput, and scalability across both interactive and batch workloads.Drive decisions around model selection, inference strategies, caching, and routing while managing cost as a first‑class engineering metric.Reliability & GovernanceBuild highly reliable systems through monitoring, alerting, incident response, and operational excellence practices.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 ReportsWrite 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. Grow other engineers’ judgment, not just their output.Partner with Product Management, legal domain experts, and Review Operations to turn ambiguous problems into shippable scope.Required QualificationsBachelor'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.Clear written communication. You can explain a design decision and its trade‑offs to engineers and to non‑engineers.Preferred QualificationsOrchestration frameworks such as LangGraph, LangChain, MCP, etc.LLM observability and evaluation tooling such as Langfuse, OpenTelemetry, etc tracing.Vector databases, search infrastructure, and information retrieval fundamentals.Hallucination detection, grounding verification, and benchmarking methodology.Model fine‑tuning, quantization, or inference optimization.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.This will be based on your background and skills alignment with the role.In considering this role you must be authorized to work within Canada with proof of right to work presented if required. Please also note AI may have been used in the screening process to assess suitability for the advertised role. This role is an Active Vacancy within Epiq.Your specific salary will be determined based on several factors:Location‑based market rate
for the roleYour abilities
in relation to the job specificationPerformance
during screening and interviewPay parity
with the wider team in the considered locationFurther details about the package will be provided during the initial screening call with the Talent Acquisition Team.Epiq Leadership CompassFosters Relationships & CollaborationBuilds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.Build trust‑based partnershipsNurture long‑term relationshipsRemove collaboration barriersCelebrate cross‑team successEngages & InfluencesInspires action and alignment through clear communication, purposeful influence, and a compelling vision.Use storytelling to build buy‑inAlign communication with organizational goalsGuild alignment through strong engagementMaximizes PerformanceSets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.Use data to identify improvement opportunitiesMake informed decisionsAlign team goals with boarder strategyEmpower teams to manage their own goalsTranslate vision into clear prioritiesPrepare for disruptions with strong change managementAchieves Operational SuccessDrives continuous improvement and operational excellence through smart processes, data insights, and quality execution.Improve workflows for team efficiencyUse clear documentation and expectationsResolve issues quickly using data and feedbackIt 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.
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