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Added 11 mins ago
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
- Bachelor's degree in computer science or equivalent
Added 2 hours ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
Define the technical vision, architecture, and roadmap for network monitoring platforms.
Added 2 hours ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 3 hours ago
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
Added 5 hours ago
E
Machinist
Emerson
Brantford, ON
- Full-time
Work with cylinder shop lead hand, manufacturing engineer and supervisor to safely solve machining tasks as they are presented.
Added 6 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 8 hours ago
V
Warehouse Associate - Edmonton, AB (On-Site)
Victaulic
AB · Alberta
- Full-time
We engineer change for a more stable and sustainable world.
Added 8 hours ago
V
Warehouse Associate - Brampton, ON (On-site)
Victaulic
Brampton, ON · Toronto, ON · Ontario - Toronto
- Full-time
We engineer change for a more stable and sustainable world.
Added 9 hours ago
E
Software Engineer/Senior Software Engineer (Full Stack)
Envisio
Remote, Canada
- $90,000 to $110,000 CAD / year
- Full-time
- Remote
We are looking for an experienced and passionate Full Stack Software Engineer to join our Engineering team. You will build the tools that public agencies and local governments rely on to…
Added 10 hours ago
E
Principal AI Platform Engineer
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…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,…
Added 11 hours ago
Cloud Support Eng. II (DSE), Support Engineering
Amazon
Toronto, ON · Vancouver, BC
As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed. You will act as the Cloud…
Added 11 hours ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer - Capital One Travel Tech - Full-stack
Added 11 hours ago
GM
Early Career Software Test Developer - Propulsion Thermal Management
General Motors
Markham, ON
- Full-time
We are seeking a motivated software engineer to help verify and validate Propulsion Thermal Management functions across virtual, simulated, hardware-in-the-loop, and vehicle environments.…
Added 12 hours ago
M
Edge ML Engineer
Mecka
Richmond Hill, ON
- $170,000 to $190,000 CAD / year
- Full-time
You'll put advanced computer vision into the hardware that captures experience for robot learning. You'll train models, make them run on embedded devices, and carry their accuracy from…
Added 13 hours ago
GM
Manufacturing Controls Engineer
General Motors
St. Catharines, ON
- Full-time
…PLCs, industrial Ethernet networks, HMIs, robotics, CNCs, and vision systems. You will be responsible for conceiving and managing technical projects of varying scale and complexity,…
Added 14 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Comprehensive coverage for health, dental, and vision insurance - including dependents.
Added 14 hours ago
CE
Network Engineer
Capgemini Engineering
Toronto, ON
- Full-time
We are seeking an experienced Network Engineer to audit, assess, implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will…
Added 15 hours ago
P
ML Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
…media experiences. We’re solving key research challenges in 3D computer vision, creating the foundations for the next generation of robotic perception and embodied…
Added 16 hours ago
Network Engineer
Capgemini
Toronto, ON · Mississauga, ON
We are seeking an experienced Network Engineer to audit, assess, implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will…
Added 16 hours ago
H
Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 17 hours ago
DC
Hardware Engineering Co-op
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- Full-time
You will be a part of the Hardware Development team and report to a Senior Engineer that is responsible for New Product Development, Sustaining, and/or VAVE. If you thrive in a fast-paced…
Added 17 hours ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
Added 17 hours ago
M
Cloud & AI Solution Engineer
Microsoft
Toronto, ON
- Full-time
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 18 hours ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
B.Sc. in Electronics, Computer Science, Electrical Engineering or equivalent
Added 21 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time

Epiq

Principal AI Platform Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

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 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.
Develop shared platform services including prompt management, caching, rate limiting, and cost attribution.
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

Optimize 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 & Governance

Build 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 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. 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 Qualifications

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.
Clear written communication. You can explain a design decision and its trade-offs to engineers and to non-engineers.

Preferred Qualifications

Orchestration 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.
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 role
Your abilities in relation to the job specification
Performance during screening and interview
Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click Here To Learn About Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

Build trust-based partnerships
Nurture long-term relationships
Remove collaboration barriers
Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

Use storytelling to build buy-in
Align communication with organizational goals
Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

Use data to identify improvement opportunities
Make informed decisions
Align team goals with boarder strategy
Empower teams to manage their own goals
Translate vision into clear priorities
Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

Improve workflows for team efficiency
Use clear documentation and expectations
Resolve issues quickly using data and feedback

It 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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More about this job

Responsibilities

Design, build, and own the production platform powering AI agents and document-review accelerators, including orchestration, retrieval, evaluation, observability, inference, and shared services. Set technical direction, improve system quality, performance, cost, reliability, and governance, and mentor engineers while partnering with product, legal, and operations teams.

Requirements

Requires a bachelor's or master's degree in computer science or a related field, or equivalent practical experience, and at least seven years building production software. Candidates need strong Python skills, TypeScript familiarity, production experience with AI/LLM systems and retrieval-augmented generation, distributed and event-driven systems experience, and demonstrated ownership of reliability and clear technical communication.

Skills

Python
TypeScript
AI/LLM Systems
Retrieval-Augmented Generation
Agentic Workflows
Distributed Systems
Event-Driven Architecture
Large-Scale Data Processing
AI Orchestration
Information Retrieval
LLM Evaluation
Observability
Inference Optimization
Production Reliability
PostgreSQL
Technical Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Python
TypeScript
React
LangGraph
LangChain
Model Context Protocol (MCP)
Langfuse
OpenTelemetry
PostgreSQL
Retrieval-Augmented Generation
AI Agents
LLM Orchestration
Vector Databases
Search Infrastructure
Information Retrieval
LLM Evaluation
Grounding Verification
Hallucination Detection
Model Fine-Tuning
Quantization
Inference Optimization
Distributed Systems
Event-Driven Architecture
Batch Data Processing
Observability
Tracing
Multi-Tenant SaaS
Data Residency
eDiscovery
Document Review

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