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Added 24 mins ago
D
Forward Deployed Engineer - Akai
Deel
Canada
- Full-time
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today,…
Added 4 hours ago
CC
Intermediate Software Engineer
Canada Cartage
Mississauga, ON
- Full-time
We’re looking for a hands-on Intermediate Developer to help modernize and scale our enterprise platform within a fast-moving transport and logistics environment.
Added 7 hours ago
A
AI/ML Engineer
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Senior AI Engineer to lead the design and delivery of enterprise-grade AI systems for large clients in regulated industries. You will set technical direction,…
Added 8 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 8 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 8 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 9 hours ago
A
Data Lake Architect (Databricks)
Augmented
Toronto, ON
- Full-time
Reports to: Head of Data Platform / Enterprise Architecture
Added 12 hours ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
IBM Safer Payment SME - Senior Lead Software Engineer
Added 12 hours ago
Y
Data Engineer
Yochana
Calgary, AB
- Full-time
Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Added 17 hours ago
B
Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Experience with a public cloud platform (Azure preferred), including compute, identity and access management, and CI/CD pipelines.
Added 19 hours ago
R
Founding Engineer
RIGZLO
Ottawa, ON · Nepean, ON
- Full-time
We are building an AI-native platform that connects businesses with finance professionals and supports the management of engagements from initial requirements through completed delivery.…
Added 20 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 20 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 20 hours ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 1 day ago
VS
Bilingual Senior Azure Cloud Platform Engineer
Vsync Solutions
Montreal, QC
- Contract
Senior Azure DevOps & Cloud Platform Engineer
Added 1 day ago
TW
Senior Site Reliability Engineer
The Walt Disney Company
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
…collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments…
Added 1 day ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 1 day ago
F
Staff Software Engineer, Quality & Reliability Platform
fb9e7da1-2660-46a2-9ffc-154a66684510
Toronto, ON
- Full-time
This is a high-impact, cross-functional role for an engineer who sees quality and reliability as properties of the entire system - not as a final testing phase or the responsibility of a…
Added 1 day ago
F
Staff Software Engineer, Quality & Reliability Platform
fb9e7da1-2660-46a2-9ffc-154a66684510
Toronto, ON
- Full-time
This is a high-impact, cross-functional role for an engineer who sees quality and reliability as properties of the entire system - not as a final testing phase or the responsibility of a…
Added 1 day ago
CS
Software Developer
Cronometer Software Inc
Revelstoke, BC
- Full-time
Power decisions across the company. Grow our internal data and analytics platform on AWS to improve visibility, observability, and data quality across all teams
Added 1 day ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
…collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments…
Added 1 day ago
I
Staff Software Developer, Full Stack
Intuit
Toronto, ON
- Full-time
…Incentives team that is building an AI powered robust Partner Platform that unifies sales motions across Mid-Market and Mass Market for QB, MC, Accountants, and Credit Karma with AI powered…
Added 1 day ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 1 day ago
T
Staff Software Engineer
Twilio
Remote, Canada
- Full-time
- Remote
As a Staff Software Engineer (P4), you will be a key technical leader for a platform that processes millions of requests. You will build innovative solutions while working closely with…
Added 1 day ago
TR
AI Security Associate Architect
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Hands-on experience and deep understanding of at least one major cloud provider (AWS, Azure, or GCP), including identity and access management, networking, and shared platform services.

Behavox

Senior NLP Engineer

Toronto, ON, Canada

$170,000 to $230,000 CAD / year

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Job details

Pay: $170,000 to $230,000 CAD / year
Posting language: English
Posted: Oct 16, 2026

Original job description

About Behavox
Behavox is a global group of companies and a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management, and front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

Our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimizing for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organization with a strong bias toward delivery, ownership, and responsibility. We are building systems that are complex, mission-critical, and global in scale. To do that, we seek highly skilled engineers and technologists who take end-to-end responsibility and want to build what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, the Behavox group is headquartered in London, with offices worldwide, including New York City, Toronto, Montreal, Seattle, Singapore, and Tokyo.

About the Role
Our Canadian entity, Northern Path Communication & Security Software Inc., is recruiting a Senior NLP Engineer for our Toronto office.

The role sits within the Behavox AI team as an experienced individual contributor. It uses NLP and artificial intelligence (AI) to build features that help our clients understand and act on vast volumes of multilingual communications data (email, chat, and voice transcripts from the world’s largest financial institutions), turning them into accurate, explainable risk and compliance insights.

Alongside model development, the role owns the data foundations behind it. It designs, develops, and maintains the databases and data models that power our NLP pipelines, and sets the standards for how that data is administered across the organization.

Working with a high degree of autonomy, the role takes solutions from prototype to production in close partnership with research scientists, product managers, MLOps, and engineering. It also supports the revenue team with technical expertise when clients ask how our AI works.

What You’ll Do

AI-powered communication features: Use existing NLP technologies and AI solutions, including LLMs, to develop communication assistance features and risk-detection capabilities for clients.
Data science and model development: Design, train, fine-tune, and evaluate NLP models, and take them from prototype to production with MLOps and engineering.
Database design and development: Design, develop, and maintain the databases behind our NLP pipelines, and develop and implement a strategic blueprint for deploying databases across the organization.
Data administration and testing: Develop and implement data administration policies, standards, and models. Test data models and database management systems before and after release.
Infrastructure improvement: Collect data to identify areas for improvement in the organization’s IT and data infrastructure, and turn findings into practical changes.
Documentation and reporting: Document reporting needs, queries, logic, results, and recommendations for other information systems professionals.
Collaboration and mentoring: Advise product and engineering teams, explain model behaviour to clients alongside the revenue team, and mentor other engineers through Git-based workflows and code review.

Requirements

Education: Master’s degree in computer engineering or a related field (such as computer science, computational linguistics, or machine learning).
Experience: 5 or more years of experience building NLP, data science, or machine learning systems, including solutions shipped to production.
Language: English.

Skills

NLP and AI: Hands-on experience with transformer models and large language models (LLMs), including fine-tuning, retrieval-augmented generation (RAG), and embedding-based search, and with core tasks such as text classification, entity recognition, and relationship extraction.
Data science: Experience building evaluation datasets and metrics, working with limited and imbalanced data, and explaining model behaviour to non-specialists.
Databases and data modelling: Experience designing, developing, and testing databases, data models, and database management systems.
Programming: Strong Python; working knowledge of C, C++, Go, Java, and JavaScript; daily use of Git.
Production engineering: Experience serving, monitoring, and maintaining models and data systems in production on cloud platforms (AWS or GCP).
Personal suitability: Accurate, organized, and detail-oriented, with sound judgment, initiative, and accountability. Adaptable, a quick learner, and a team player with a strong client focus and excellent written and oral communication.

Work environment
A fast-paced environment with tight deadlines, where you will sometimes work under pressure. Attention to detail matters because our clients operate in highly regulated industries.

What We Offer

Salary: $170,000 to $230,000 CAD per year, depending on experience.
A benefits package that includes an equity award aligned with long-term value creation, in addition to cash compensation.
30 days of paid time off annually, plus public holidays and sick leave.
A hybrid role based in our modern Toronto office (1 day per week in office).
The opportunity to work on a global, mission-critical AI platform alongside highly skilled engineers and technologists across multiple geographies.
Real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence.

About Our Process
We believe hiring is a two-way assessment: you are evaluating us as much as we are evaluating you. Our process looks like this:

Initial conversation: We cover salary, location, core experience and skills, and values alignment.
Technical interview: A deep dive into the technical competencies critical to the role.
Behavioural interview: A deep dive into behavioural competencies.
Practical task: The most aligned candidates complete a work simulation, typically presented and discussed with a group of colleagues and managers.
Leadership meetings: You meet several of our senior leaders so you can make a fully informed decision.

Please note:

We want a genuine conversation, so the use of AI tools or assistance during live interviews is not permitted and will result in disqualification from the process.
Interviews may be recorded for internal review, to support fairness and collaborative hiring discussions within the team.

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More about this job

Responsibilities

Develop, evaluate, and productionize NLP and AI features and models, including LLM-powered communication assistance and risk detection. Design and maintain databases and data models for NLP pipelines, improve data infrastructure, document findings, and collaborate with product, engineering, MLOps, research, and revenue teams while mentoring engineers.

Requirements

Requires a master’s degree in computer engineering or a related field and at least five years of experience building NLP, data science, or machine learning systems, including production deployments. Candidates need hands-on experience with transformers and LLMs, strong Python skills, database and data-modeling expertise, production cloud experience on AWS or GCP, and strong communication and collaboration skills.

Skills

Natural Language Processing
Large Language Models
Transformer Models
Fine-Tuning
Retrieval-Augmented Generation
Embedding-Based Search
Text Classification
Entity Recognition
Relationship Extraction
Python
Database Design
Data Modeling
Model Evaluation
Git
AWS
Google Cloud Platform

Benefits

Equity Award
30 Days Of Paid Time Off
Public Holidays
Sick Leave
Hybrid Work Arrangement

Visa sponsorship

Not detected in the job text

Keywords

Natural Language Processing
Artificial Intelligence
Large Language Models
Transformer Models
Retrieval-Augmented Generation
Embedding-Based Search
Text Classification
Entity Recognition
Relationship Extraction
Machine Learning
Data Science
Python
C
C++
Go
Java
JavaScript
Git
Database Management Systems
Data Modeling
MLOps
AWS
Google Cloud Platform
Cloud Platforms
Communication Surveillance
Trade Surveillance
Risk Detection
Compliance
Financial Services
Agile

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