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Added 1 month ago
Software Development Engineer in Test, Full Stack, Creativity Apps
Apple
Vancouver, BC
Fluent in Python, Swift, and/or JavaScript to prototype features, create, and test with internal tools.
Added 1 month ago
SE
Senior Manager, Cloud Development
Samsung Electronics
Mississauga, ON
- Full-time
Ensure compliance with industry standards (e.g., GDPR, HIPAA) and organizational policies
Added 2 months ago
B
Data Solution Architect
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- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 2 months ago
TR
Data Scientist III
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Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Strong programming skills in Python and proficiency with ML frameworks (Scikit-learn).
Added 1 month ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).
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Canada
- Full-time
Work with clients and internal teams to shape the AI, machine learning, and agentic business and technology vision and go-to-market offerings
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Senior AI/ML Scientist
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Toronto, ON
- Full-time
…and Responsible AI learning paradigms. You will work closely with our interdisciplinary team of scientist, engineers, and product managers to advance the state-of-the-art in AI technologies…
Added 1 month ago
FC
Sr Analyst, Advanced Analytics
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with statistical modelling techniques using python
Added 2 months ago
C
Senior Software Engineer - AI / ML
CyberCoders
Canada
- Full-time
-Programming: Proficient in Python; comfortable with SQL and data engineering patterns.
Added 5 months ago
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Digital - ASIC Design Automation Engineer
Eliyan
Toronto, Ontario
- Full-time
…industry's most efficient chiplet-to-chiplet PHY technology. With Series C funding from leading hyperscalers and AI infrastructure providers, we are scaling our digital design organization…
Added 1 month ago
KD
AI/ML Engineer
Katalyst Data Management
Calgary, AB
- Full-time
…services. Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data…
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
…services. Our industry-leading iGlass™ platform provides customers with reliable, secure, 24/7 access to critical subsurface information, supported by robust system redundancy and data…
Added 2 months ago
C
Coop AI Developer
CGI
Calgary, AB
- Full-time
Winter 2027 Co-op: AI Software Developer (4 - 8 Months)
Added 1 month ago
CS
Distributed Software Engineer
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 2 months ago
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Senior Full Stack Engineer
Procurify
Remote, Canada
- $122,000 to $152,000 CAD / year
- Full-time
- Remote
You’re a person with a knack for solving some of the most pressing technology challenges in SaaS application development while levelling up the team of engineers around you, and you’re…
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Senior AI Developer / Développeur(se) IA senior
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Montreal, QC
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AI Engineer, Innovation
MNP
AB
- Full-time
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Oliver Wyman - Senior Lead AI Developer
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Gen AI Engineering and Scaled AI Transformation
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Mississauga, ON
- Full-time
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility.
Added 2 months ago
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Senior Business System Analyst
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Toronto, ON · SCC
- Full-time
…technology capabilities. As a central organization, DnA collaborates with groups across the bank such as Finance, Risk, AML, FCU, HR, Marketing, Wealth, Capital Markets, Personal and…
Added 2 months ago
X
AI Specialist - Representation and Reinforcement Learning
Xanadu
Toronto, ON
- Full-time
At Xanadu, we primarily work with Python, Jupyter, Jax, GitHub, Docker, CI pipelines, and multiple cloud platforms. Proficiency in these technologies is essential.
Added 2 months ago
X
AI Specialist - Applied ML Research
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Toronto, ON
- Full-time
At Xanadu, we primarily work with Python, Jax, GitHub, Docker, CI pipelines, Jupyter and multiple cloud platforms. Proficiency in these technologies is essential.
Added 2 months ago
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AI Specialist - AI For Research
Xanadu
Toronto, ON
- Full-time
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Added 2 months ago
S
Senior Core Java Developer with E-trade exp.
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…
Added 2 months ago
CI
Lead Software Engineer, AI & Emerging Tech
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Toronto, ON
- Full-time
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CyberCoders

Senior Software Engineer - AI / ML

Canada

$10 exam copay, $20 materials copay · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $10 exam copay, $20 materials copay
Job type: Full-time
Posting language: English
Posted: Sep 3, 2026

Original job description

We are the only AI Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, we processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country.

We're looking for a Senior AI/ML Engineer to help expand our next-generation document intelligence system. Working in close collaboration with our Data Science team, you'll bring deep technical rigor to a system that gets smarter with every document it digests, across hundreds of customers at scale. The system draws on a combination of ML, LLM, RAG, applied mathematics, and smart algorithm design to deliver results at a high level of accuracy.

What you will be doing:

-Retrieval-Augmented Generation: Design and build RAG architectures for document understanding, classification, and extraction, from chunking and indexing through retrieval quality and grounding. -LLM Feature Development: Ship production LLM-powered features end-to-end, from prompt design through evaluation, not just prototypes. -Evaluation-Driven Development: Build regression suites, confidence calibration methods, and evaluation frameworks that make AI output quality measurable. -Collaboration with Data Science: Partner closely with our Data Science team to bring research-grade techniques into production. -ML Pipeline & MLOps: Own model, data, and prompt versioning; build reproducible pipelines for ingestion, training, evaluation, and serving. -Rollout Automation & A/B Testing: Implement canary deployments, side-by-side A/B testing, and rollback mechanisms for safe model and prompt releases. -Monitoring & Observability: Implement drift detection, data quality monitoring, and alerting; define SLOs for model and pipeline health. -System Architecture & Leadership: Design secure, high-performance ML infrastructure; evaluate tooling (Bedrock, MLflow, Airflow); mentor engineers and influence best practices.

What you will be need:

-Experience: 5+ yrs in software engineering, with 2+ yrs focused on ML/AI in production systems. -LLM & RAG Fundamentals: Hands-on experience with prompt engineering, RAG architectures, and evaluation-driven development, with a track record of shipping LLM-powered features real users rely on. -MLOps & Pipeline Tooling: Practical experience with model, data, prompt versioning, experiment tracking, and deployment automation; proficiency with Airflow, MLflow, and Bedrock or equivalents. -Programming: Proficient in Python; comfortable with SQL and data engineering patterns.

Benefits

-Medical | Blue Cross Blue Shield

Multiple PPO plan options with nationwide coverage
100% in-network preventive care
Comprehensive coverage for doctor visits, prescriptions, and mental health

-Dental | Guardian

100% coverage for preventive care
80-90% coverage for basic services
50-60% coverage for major services
Orthodontia benefit up to $2,000

-Vision | Guardian VSP

$10 exam copay, $20 materials copay
$150 allowance for frames or contacts every 12 months

-Life Insurance | Guardian

Company-paid life insurance of $50,000 for all full-time employees

-Voluntary Life Insurance | Guardian

Option to purchase additional coverage for yourself, your spouse, and dependents
Spouse coverage up to 50% of employee amount, child coverage up to $10,000

-401(k) Retirement Plan

Employer match of 50% of employee contributions, up to $2,350 per year
Immediate eligibility upon hire and full vesting from day one

-Discretionary Paid Time Off (PTO)

Take time as needed to recharge and balance personal responsibilities
No fixed accrual - focused on results and trust

-Paid Holidays

10 paid company holidays annually, including major U.S. holidays and year-end break

Email Your Resume In Word To
Nitu.Gulati-Pauly@cybercoders.com
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.
Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : NNG-1990757L402 -- in the email subject line for your application to be considered.
Nitu Gulati-Pauly - VP of Client Development

This is a new role.

This job was first posted by CyberCoders on 06/28/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.

Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.

Copyright © 2026 Everforth, Inc. All rights reserved.

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More about this job

Responsibilities

Design and build RAG architectures and production LLM-powered features for document understanding and extraction. Own the MLOps pipeline, including model versioning, monitoring, and the implementation of safe rollout mechanisms.

Requirements

Requires over 5 years of software engineering experience with at least 2 years focused on production ML/AI systems. Proficiency in Python, SQL, and hands-on experience with RAG, prompt engineering, and MLOps tooling is essential.

Skills

Python
SQL
LLM
RAG
MLOps
Prompt Engineering
Airflow
MLflow
Amazon Bedrock
Data Engineering
Model Versioning
A/B Testing
Drift Detection
System Architecture
Evaluation-Driven Development
Document Intelligence

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Voluntary Life Insurance
401(k) Retirement Plan
Discretionary Paid Time Off
Paid Holidays

Visa sponsorship

Not detected in the job text

Hiring contact

Nitu Gulati-Pauly

Hiring contact email

Nitu.Gulati-Pauly@cybercoders.com

Keywords

AI
Machine Learning
LLM
RAG
MLOps
Python
SQL
Airflow
MLflow
Bedrock
Document Intelligence
Prompt Engineering
Data Science
Canary Deployments
A/B Testing
Drift Detection
SLOs
Indexing
Chunking
Grounding
Regression Suites
Confidence Calibration
Software Engineering
Legal Tech
Automation
Data Engineering
Infrastructure
Model Serving
Evaluation Frameworks
Document Classification

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