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Added 1 month ago
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Senior Data Engineer
Super.com
Remote, Canada
- Full-time
- Remote
As a Senior Data Engineer, you will be a key member of a high-performing team of senior data professionals, reporting directly to an Engineering Manager. You will be expected to tackle the…
Added 1 month ago
CA
Backend Engineer
Cambio AI Inc.
Remote, Canada
- Full-time
- Remote
We're looking for a Backend Engineer to build, help teammates do their best work, and have fun doing it.
Added 1 month ago
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Test Engineer
ORBCOMM
Ottawa, ON
- $75,000 to $95,000 CAD / year
- Full-time
…at their best? At ORBCOMM, we're looking for a hands-on Test Engineer to design, develop, and support automated test solutions used throughout product development, validation, and…
Added 1 month ago
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Intermediate / Senior Product Engineer
Symend
Remote, Canada
- Full-time
- Remote
…You’re not a PM who hands off to engineering. You’re not an engineer who gets handed a spec. You do both, and you’re accountable for whether the product finds its…
Added 1 month ago
GD
Junior Hardware Engineering Developer, FPGA
General Dynamics Missions System International
Ottawa, ON
- Full-time
Engineer, implement, and optimize FPGA-based solutions using Vivado, focusing on VHDL and HLS code development.
Added 2 months ago
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GTM Engineer (Lead)
Edgecom Energy
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
SQL, Python, or BI tools for reporting automation.
Added 1 month ago
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Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
GD
Co-op Winter 2027 - Software Developer - 8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
The Applications team for the Land C5ISR Program is looking for a Co-op Software Engineer to join our team. We develop and integrate various software products that enable the Canadian Army…
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
…Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses,…
Added 2 months ago
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AI Research Engineer
Deloitte
Toronto, ON
- Full-time
We are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and…
Added 2 months ago
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Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Proficiency in programming languages and tools such as Python, SQL, or similar.
Added 1 month ago
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Staff AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
Engineer reliability into the platform - circuit breakers, graceful degradation, rollback mechanisms, and zero-downtime deployments.
Added 1 month ago
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Co-op Engineer - Computer Network for AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- $58,000 to $104,000 CAD / year
- Internship
Huawei Canada has an immediate co-op opening for an Engineer.
Added 1 month ago
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Lead Engineer - AI Workflows
Xero
Vancouver, BC
- Full-time
As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer,…
Added 1 month ago
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Senior DevOps Engineer
SOVRA
Remote, Canada
- Full-time
- Remote
SOVRA is adding a Senior DevOps Engineer to support the engineering team responsible for its public sector platform. This role was created to meet the operational demands of a growing cloud…
Added 1 month ago
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Staff Infrastructure Engineer
VGS
Canada
- Full-time
…consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand…
Added 1 month ago
CO
Associate, Software Engineer, New Grad Card Expansion
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad Card Expansion
Added 1 month ago
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Full Stack Engineer (.NET + Front-End)
NetSpeek
Remote, Canada
- Full-time
- Remote
Full Stack Engineer (.NET + Front-End) - NetSpeek
Added 1 month ago
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Senior AI Engineer
NetSpeek
Remote, Canada
- Full-time
- Remote
The Senior AI Engineer owns Lena's reasoning layer end-to-end: retrieval, grounding, evaluation, and the boundary between AI suggestions and governed actions.
Added 1 month ago
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Principal Engineer, CAD
SiTime Corporation
Ottawa, ON
- Full-time
The Principal Engineer, CAD will provide CAD Software support for Digital, Analog and Mixed-Signal designs, using Cadence, Synopsys, Siemens, Keysight & 3rd party vendor tools.…
Added 2 months ago
FF
Senior Application Security Engineer
Forward Financing
Remote, Canada
- $145,000 to $183,000 USD / year
- Full-time
- Remote
As a Senior Application Security Engineer, you'll find the vulnerabilities in Forward Financing's software before an attacker does. You'll pentest our core systems along with the AI systems…
Added 2 months 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 2 months ago
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Full-Stack Engineer, ML Tooling and Infrastructure
Mecka
Remote, Canada
- $130,000 to $180,000 CAD / year
- Full-time
- Remote
Production-Grade Python: You know how to build fast, concurrent APIs (FastAPI, gRPC) that don't choke on high-volume media requests.
Added 2 months ago
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Senior Software Engineer, Frontend
Sardine
Remote, Canada
- $160,000 to $210,000 CAD / year
- Full-time
- Remote
As a frontend-focused Senior Software Engineer, you will own the design and delivery of the user-facing experiences at the heart of our AI products. Your primary focus is building polished,…
Added 1 month ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Working under guidance from a senior engineer, develop and perform test cases to validate specific requirements;

NetSpeek

Senior AI Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: You have 5+ years of ML / applied AI engineering experience.
Posting language: English
Posted: Sep 1, 2026

Original job description

Senior AI Engineer - NetSpeek

NetSpeek is the agentic control plane for enterprise physical infrastructure. We govern how AI agents reason about, decide on, and execute actions across enterprise endpoints. Our reasoning and execution layer - Lena - sits in customer production environments, where reliability, observability, and auditability are non-negotiable.

The Senior AI Engineer owns Lena's reasoning layer end-to-end: retrieval, grounding, evaluation, and the boundary between AI suggestions and governed actions.

What you'll work on

Designing and improving RAG pipelines for grounding Lena's diagnostic reasoning in structured operational telemetry, device state, and product documentation.
Building evaluation harnesses that measure groundedness, hallucination, refusal calibration, and action accuracy on every release.
Setting the boundary between Lena's probabilistic reasoning and the platform's deterministic action layer - what she's allowed to do, when, and under what audit.
Owning AI cost and latency budgets per workflow.
Partnering with backend (.NET) and platform engineers to land changes safely.

You're a fit if

You have 5+ years of ML / applied AI engineering experience.
You've built and shipped production LLM systems (RAG, agents, structured outputs, evaluations) at a B2B SaaS company.
You've owned a production RAG system end-to-end.
You've built evaluation pipelines that ran on every release and caught real regressions.
You've worked at a growth-stage AI-native SaaS company where AI was the primary product.

You probably aren't a fit if

Your AI exposure stops at experimentation or coursework.
You haven't deployed AI systems to customer production environments.
You want a process-heavy environment where decisions go through committees.

How to apply

We prefer applications through our hiring site: https://build.netspeek.ai/roles/senior-ai-engineer

There are three paths there, and we prioritize them in this order:

Incident Lab / Case Study - work through a real scenario for this role and send your reasoning with the application. Read first. The scenario gives us the most signal on how you actually think.
Field Note - a single written take instead of the scenario. Read second. Faster than the lab, still a strong signal.
Standard application - resume and the basics through the site's apply form. Read third. Applying directly through Workable below also works, and we'll still read it. The site's three paths exist because they give us better context for the read.

Either path is read by a human on our hiring team. No AI scoring, no auto-rejection.

Read the Engineering Handbook and How We Evaluate before applying.

After an offer

We run standard pre-employment checks before your start date: identity verification, right-to-work confirmation, employment verification, and (where lawful and role-relevant) a criminal record check. We don't run credit checks or online reputation scoring.

Must-have

5+ years in machine learning engineering, or 5+ years combined across ML and applied AI systems
2+ years building and shipping LLM-powered systems in a growth-phase AI SaaS company where AI was the product, not a side feature
Hands-on experience with RAG systems including vector databases, embedding tuning, and retrieval optimization
Experience building evaluation pipelines for LLM performance, hallucination, and reliability in production
Strong Python with production-level ML system implementation
Track record operating under real product constraints: latency, cost, observability, and safety
Comfortable being accountable for AI behavior in production

Strong signal

Designed agentic workflows with measurable performance improvements
Worked at AI-native startups that scaled from early traction to growth stage
Reduced hallucination and improved grounding in production systems
Cost optimization at scale, including token modeling and caching strategies
Familiarity with compliance-aware AI logging and enterprise audit requirements
Defined evaluation pipelines before feature release rather than after

Not the right fit if

Your LLM experience is limited to experimentation, side projects, or non-production systems
You are a backend engineer looking to pivot into AI
Your background is research-focused without production ownership
Your AI work has not operated under real customer impact

We are growth-stage and fully remote, not late-stage. We invest in the work, the tools, and the people, not the manifesto.

What that looks like in practice:

Flexible / unlimited time off
Health insurance
Equity participation, discussed at offer
Fully remote
Architectural ownership of work that ships to real enterprise customers
Direct working relationships with the people setting platform strategy
A growth-stage platform where the decisions you make in your first year shape the product for years
AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable)

Apply About employer

More about this job

Responsibilities

The Senior AI Engineer will own the end-to-end reasoning layer of the Lena platform, including RAG pipeline design, grounding, and evaluation. They will collaborate with backend and platform teams to ensure reliable, cost-effective, and safe AI execution in production environments.

Requirements

Candidates must have at least 5 years of experience in ML or applied AI, with a proven track record of shipping production LLM systems at growth-stage SaaS companies. Strong proficiency in Python and hands-on experience with RAG, evaluation frameworks, and production-level system constraints are required.

Skills

Machine learning
Applied AI
LLM systems
RAG pipelines
Python
Evaluation pipelines
Vector databases
Embedding tuning
Retrieval optimization
Latency optimization
Cost optimization
Observability
Agentic workflows
Compliance-aware logging
Enterprise audit
Production deployment

Benefits

Health insurance
Equity participation
Flexible time off
AI-assisted tooling

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Senior AI Engineer
LLM
RAG
Machine Learning
Python
Agentic Control Plane
Production Engineering
Telemetry
Hallucination
Grounding
Vector Databases
Latency
Cost Optimization
Observability
Auditability
SaaS
B2B
Cursor
Claude Code
GitHub Copilot
Deployment
Evaluation Pipelines
Infrastructure
Compliance
AI-native

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