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Added 9 mins ago
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Senior Instrumentation & Controls Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…provide an excellent opportunity to advance your career. You will lead a team of nuclear I&C Engineers and interface with the discipline engineers and designers on the Project Team and with…
Added 9 mins ago
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Operations Associate (Legal & Compliance)
Jerry.ai
Remote, Canada
- $65,000 to $80,000 CAD / year
- Full-time
- Remote
Jerry operates across the US and Canada, and our legal team keeps all of it running: entity filings, IP protection, product reviews, consumer escalations, and audits. The team is small, so…
Added 25 mins ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
…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,…
Added 25 mins ago
FT
ML Engineer Manager, AI Conversation Platform
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our…
Added 40 mins ago
XT
Operations Support
XTL Transport, Logistics, Distribution
Vaudreuil-Dorion, QC
- Full-time
This role is ideal for someone eager to grow, learn, and lead. We believe in fostering a workplace where people from all walks of life feel seen, supported, and inspired to bring their best…
Added 55 mins ago
PC
Senior Associate SIEM Implementation
PwC Canada
Montreal, QC
- Full-time
…strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. As a cybersecurity generalist at PwC, you will focus…
Added 1 hour ago
Retail Experience Lead
Fire & Flower Inc.
Sherwood Park, AB
The Retail Experience Lead maintains store appearance and product presentation to company standards and acts as a knowledge resource for team members. Duties include but are not limited to…
Added 1 hour ago
JS
Part-Time Back of House Coordinator
JD Sports / Livestock / Size?
Laval, QC
- Part-time
Our Retail team is looking for a part-time Back of House Coordinator at our CF Carrefour Laval location. Come join our quickly growing and developing team at JD Sports Canada. You will have…
Added 1 hour ago
Systems Analyst
Regional Municipality of Wood Buffalo
Fort McMurray, AB
Lead and/or collaborate on projects to conceptualize, design, plan, and develop new software programs, applications, and related data structures throughout the development life cycle, while…
Added 1 hour ago
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Director of Care (DOC) - Full Time (FT) - Holyrood
Extendicare
Holyrood, NL
- Full-time
Cultivate - lead the resident care team, providing day-to-day guidance and fostering a positive work environment that encourages collaboration, accountability, drives high performance and…
Added 1 hour ago
SL
Store General Manager (3 Month Contract)
Sporting Life
Toronto, ON · Etobicoke, ON
- Contract
As part of Sporting Life Group, alongside Golf Town and Team Town, we blend sport and style to help Canadians get outside and keep moving.
Added 2 hours ago
RB
Senior Manager, AI Engineering (AML &Fraud)
Royal Bank of Canada
Vancouver, BC
- Full-time
The Senior Manager, AI Engineering (AML &Fraud) will lead a team delivering engineering solutions for fraud and AML capabilities across global groups. The role combines hands-on technical…
Added 2 hours ago
RB
Lead, Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers…
Added 2 hours ago
TH
Loss Prevention Specialist Full Time- 6 Month Contract (WHITBY NORTH)
The Home Depot
Whitby, ON
- Full-time
Effectively utilize CCTV and exception reports and audit the Electronic Article Surveillance (EAS) systems
Added 2 hours ago
BE
MPD Technology - Automation Manager
Beyond Energy Services and Technology Corp.
Calgary, AB
- Full-time
Lead HAZOP, FMEA and SIL/functional-safety reviews for control systems.
Added 2 hours ago
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Senior BI Developer/ Data Analyst
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Senior BI Developer/ Data Analyst for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising…
Added 2 hours ago
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Hearing Aid Specialist or Audiologist
Amplifon
Chilliwack, BC
- Full-time
…consultations. Reporting to the Senior Area Manager, you will lead sales of hearing aids and accessories while educating the community on the importance of hearing…
Added 2 hours ago
IG
Product Manager
Insight Global
Vancouver, BC
- $65 to $72 CAD / hour
- Contract
Strong experience with Order Management Systems (OMS) and related fulfillment capabilities
Added 2 hours ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time
…offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the…
Added 2 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
…offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the…
Added 2 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 2 hours ago
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Senior Quality Manager
Beiersdorf
Montreal, QC
- Full-time
Lead country quality and compliance activities for products sold in Canada
Added 2 hours ago
RL
Salesperson
Royal LePage Real Estate Services Ltd., Brokerage
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Full-time
…superior client representation in a highly competitive market. The team is dedicated to delivering high-quality service before, during, and after every purchase and sale, helping families…
Added 3 hours ago
TH
Loss Prevention Specialist Full Time
The Home Depot
Mississauga, ON
- Full-time
Effectively utilize CCTV and exception reports and audit the Electronic Article Surveillance (EAS) systems
Added 3 hours ago
AC
Data Analyst
Aramark Canada
Mississauga, ON
- Full-time
The Data Analyst will support the design, integration, and continuous improvement of data solutions that connect internal systems and external partner platforms. This role transforms…

FDE Times

AI Field Engineer, EMEA

London, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

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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