Jobs in Canada

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Added 5 days ago
A
Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)
AceStack
Toronto, ON
- Full-time
Must Have Technical/Functional Skills
Added 5 days ago
FM
Automation Lead
Farm Mutual Re
Cambridge, ON
- $52.79 to $87.98 CAD / hour
- Full-time
Reporting to the Manager, Automation & Process Improvement, the Automation Lead designs, develops, and leads the end-to-end delivery of scalable automation solutions, from technical…
Added 5 days ago
A
Principal Data Scientist
Autodesk
ON · Ontario, Canada
- Full-time
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Added 5 days ago
C
Sr. Engineer - Automation, Falcon Complete
CrowdStrike
Canada
- Full-time
As a Senior Engineer - Automation on our Falcon Complete Managed Detection & Response (MDR) team, you will lead the design and implementation of complex security automation services that…
Added 5 days ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This is a full-time, hybrid position, working in our Toronto office three days per week
Added 5 days ago
T
Head of Engineering
Talently
Toronto, ON
- Full-time
Recruit, develop, and lead a high-performing engineering organization focused on developer growth and execution.
Added 5 days ago
Web Engineer, International Expansion
Robinhood
Toronto, ON
This role is based in our Toronto, Canada office, with in-person attendance expected at least 3 days per week
Added 6 days ago
SI
CAD Software Engineer, Principal-18736
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
…Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software…
Added 6 days ago
J
Senior Director, Engineering
Jobgether
Canada
- Full-time
…semiconductor applications. In this high-impact role, you will lead multidisciplinary memory design teams and shape the technical roadmap across multiple process technologies. You will…
Added 6 days ago
BR
Robotics Software Developer – ROS2, State Estimation, Perception
BHF Robotics
Markham, ON
- Full-time
Development Skills: Exceptional C++ / Python programming skills with a strong grasp of modern software engineering practices (Git, CI/CD, unit testing, profiling).
Added 6 days ago
EB
Senior Bioinformatics Scientist
Ephla Bio
Toronto, ON
- Full-time
Practical programming skills: Strong Python and/or R skills for biological data analysis and visualization. You write maintainable code and use version control, testing, and code review.
Added 6 days ago
GF
Electronics Engineer, Diagnostics & Data Acquisition
General Fusion Inc.
Richmond, BC
- $140,000 to $170,000 CAD / year
- Full-time
This is a senior-level individual contributor position, serving as the technical lead for the electronics group with opportunities for expanded leadership scope as the team grows. The…
Added 6 days ago
AW
Senior Software Engineer, Java - 12 Month Contract
Aviso Wealth
Remote, Canada
- Full-time
- Remote
Lead end-to-end development of software modules, ensuring adherence to coding standards, architectural principles, and best practices
Added 6 days ago
M
RQ11859 - Systems Testing/QA Specialist - Intermediate
Maarut
Toronto, ON
- Contract
against the various components. The tester will work with the testing lead and
Added 6 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Remote, Canada
- $175,000 to $210,000 CAD / year
- Full-time
- Remote
Location: Hybrid, three days per week, Toronto / Greater Toronto Area (GTA), Ontario, Canada
Added 6 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Lead client interviews with developers, technical leads, project managers, and business owners, asking clear follow-up questions to gather complete and accurate technical information.
Added 7 days ago
A
Principal, AI Agent Control & Governance
ATB
Edmonton, AB · Calgary, AB
- Full-time
Enterprise Model & Platform Administration: Lead the operational deployment, lifecycle management, licensing agreements, and core configurations for frontier models (Google Gemini,…
Added 7 days ago
M
Cloud Solution Architect - AI Apps
Microsoft
Calgary, AB · Vancouver, BC
- $96,000 to $177,600 CAD / year
- Full-time
…obstacles and adoption challenges. You will work with customers to lead deep technical architecture discussions and engage with senior customer executives, enterprise architects, platform…
Added 7 days ago
L
Senior Cybersecurity Analyst - SOC
lululemon
Vancouver, BC
- Full-time
Lead investigations into security incidents escalated from lower-tier SOC analysts.
Added 7 days ago
LC
Software Development Manager
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed Financial Services is looking for a Software Development Manager in North America to grow and lead our technical team within the Financial Services organization.
Added 7 days ago
O
Data Valorization Expert
OSEDEA
Montreal, QC
- Full-time
Lead client workshops to understand business challenges, define analytics needs, and propose solutions aligned with strategic objectives.
Added 8 days ago
K
Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
Support or lead client workstreams across strategy, operations, transformation, and implementation.
Added 8 days ago
A
Principal Data Scientist
Autodesk
Montreal, QC
- $129,000 to $189,200 CAD / year
- Full-time
Lead junior/ senior data scientists and analysts. Apply statistical techniques to model customer behavior and trends to identify potential opportunities for growth and improvement
Added 8 days ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
…production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the…
Added 8 days ago
Senior Data Analyst
Konrad
Toronto, ON
Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations

FDE Times

AI Field Engineer, EMEA

London, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Nov 7, 2026

Original job description

Job Description

About Us

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

In The Last Few Months Alone We Launched Fireworks Training, Partnered With Microsoft Azure Foundry, And Published Research Straight From Our Production Systems. A Few Examples Of What That Looks Like In Practice

Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)

The Role

AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.

You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.

The Segment

As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.

What You'll Work On

Technical Delivery and Deployment

Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.

Model Strategy and Fine-Tuning

Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.

Customer Engagement and Stakeholder Management

Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.
Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.

Product Feedback and Platform Improvement

Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.

What We're Looking For

Minimum Qualifications

5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.

Preferred Qualifications

10+ years in technical field or engineering roles.
Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.
Track record taking GenAI POCs from prototype to production-scale deployments.
Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.

Why Fireworks?

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI - no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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More about this job

Responsibilities

Build and deploy customer-facing AI solutions, including POCs, production integrations, inference infrastructure, fine-tuning pipelines, and evaluation frameworks. Lead customer discovery and technical relationships, work on-site with customer teams, and turn recurring deployment challenges into product improvements and reusable tooling.

Requirements

Requires at least five years in a hands-on, customer-facing technical role, strong Python skills, experience shipping production software in customer environments, and working knowledge of Kubernetes, cloud and GPU infrastructure, and the LLM stack. Strong communication skills are essential; experience with inference frameworks, hyperscaler AI platforms, and taking GenAI prototypes to production is preferred.

Skills

Python
Kubernetes
Infrastructure Engineering
LLM Inference
Model Serving
Fine-Tuning
Cloud Infrastructure
GPU Deployment
Load Testing
Performance Optimization
Customer Discovery
Stakeholder Management
Evaluation Frameworks
Technical Communication
Agentic Systems

Visa sponsorship

Not detected in the job text

Keywords

Python
Kubernetes
AWS
Azure
GCP
GPU Infrastructure
LLM Inference
Model Serving
vLLM
SGLang
TensorRT-LLM
Fine-Tuning
Supervised Fine-Tuning
DPO
RFT
Load Testing
Latency
Throughput
Quantization
Evaluation Frameworks
GenAI
Agentic Systems
Azure AI Foundry
AWS Bedrock
Amazon SageMaker
Google Vertex AI
Production Deployment
Proofs Of Concept
Inference Frameworks
Technical Discovery

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Jobs in Canada