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Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
Additional Graph Methods: Hands-on experience with Python (NetworkX), RDF/SPARQL, or SQL Graph databases is a plus.
Added 2 months ago
M
Software Engineer II - Distributed Systems
Microsoft
Vancouver, BC · Goodwood, ON
- Full-time
…intelligence. Our portfolio includes Microsoft Fabric, Azure SQL Database, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus,…
Added 2 months ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
Added 2 months ago
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
Strong SQL and Python; hands-on with a modern warehouse (Snowflake, BigQuery, Redshift, or Databricks) and a transformation framework such as dbt
Added 2 months ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 1 month ago
PC
SAP S/4HANA Data Management, Senior Manager (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.
Added 1 month ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Proficiency in .NET/C#, Python, SQL, Git, and CI/CD pipelines
Added 2 months ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
This is a Full-time, Permanent role based at our Vancity head office and will report directly to the Senior Manager, Generative and Cognitive AI. Candidates located in British Columbia will…
Added 2 months ago
C
Full Stack Developer
CGI
Calgary, AB
- Full-time
We are seeking Intermediate to Senior Full Stack Developers to design, build, and deploy scalable web applications. The ideal candidate will have strong front-end expertise in both frontend…
Added 2 months ago
P
SAP S/4HANA Data Management, Senior Manager (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
Knowledge of ETL processes, data profiling and transformation, SQL, Python, and related data-management technologies.
Added 2 months ago
QP
Director, Data Solutions
QuadReal Property Group
Toronto, ON
- Full-time
Hands-on engineering and BI expertise, with direct experience building data models and BI solutions and the technical depth to set standards and review complex work (dbt, SQL, Python, DAX)
Added 2 months ago
Senior Consultant - Fraud Analytics
EY
Toronto, ON
Proficiency in SQL and experience with at least one analytical programming language or platform, such as Python, R, or SAS.
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
C
Senior Software Developer
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
We’re looking for a Senior Software Developer to join Cavtera’s growing development team.
Added 4 months ago
K
Senior Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
Working with tools such as Power BI, Tableau, Alteryx, SQL, Python, Power Platform, Copilot, ChatGPT Enterprise, or similar platforms.
Added 4 months ago
K
Manager, Financial Crimes- Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
K
Senior Manager, Data Analysis & Audit Productivity
KPMG
Winnipeg, MB · Saint John, NB · Fredericton, NB · Moncton, NB · Sudbury, ON · Hamilton, ON · Parry Sound, ON · Kingston, ON · Sault Ste. Marie, ON · North Bay, ON · London, ON · Toronto, ON · Windsor, ON · Ottawa, ON · Oakville, ON · Vaughan, ON · Waterloo, ON · Perth, ON · St. Catharines, ON · Swift Current, SK · Regina, SK · Saskatoon, SK · Vanderhoof, BC · Langley (District), BC · Prince George, BC · Fort St. John, BC · Victoria, BC · Chilliwack, BC · Abbotsford, BC · Vernon, BC · Kamloops, BC · Burnaby, BC · Vancouver, BC · Quesnel, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Edmonton, AB · Calgary, AB · Lethbridge, AB · ON · Langley, British Columbia · Kanata, Ontario
- Full-time
We are looking for a Senior Manager of Data Analysis & Audit Productivity to join our Audit Center – Audit Technology and Transformation team.
Added 4 months ago
K
Consultant, Financial Crimes - Data Analytics
KPMG
Ottawa, ON · Montreal, QC · ON · Toronto, Ontario
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
…legacy platforms, data pipelines, monitoring tools, scripting (Python/SQL), AI-assisted development, and advanced development…
Added 2 months ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
Tech Advisory & Delivery Senior AI Tech Consultants at BCG Platinion are:
Added 2 months ago
N
Bilingual (English/French) Associate Director, Retail Analytics
NielsenIQ
Toronto, ON
- Full-time
Experience with SQL, Databricks, Python, or other analytical programming tools.
Added 2 months ago
CP
Senior Analyst
Capital Power
Calgary, AB
- Full-time
Advanced analytical and coding skills that can include coding / using VBA, SQL, R, Python languages.
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
…embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader. This person will be the go-to analytics expert for advertiser revenue,…
Added 2 months ago
PS
Senior Analyst, Data Analytics Enablement
Public Sector Pension Investment Board
Montreal, QC
- Full-time
General technical fluency (programming skills in any of Python, SQL, MATLAB, R, Databricks)

Calabrio

Senior Software Engineer, AI

Remote, Canada

Remote

Starting rate of pay for this salaried position is targeted at 100,000 CAD.

Apply About employer

Applications open in a new tab.

Job details

Pay: Starting rate of pay for this salaried position is targeted at 100,000 CAD.
Workplace: Remote
Education: Bachelor’s degree
Experience: 5+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production.
Posting language: English
Posted: Aug 26, 2026

Original job description

Are you driven by innovation and looking to thrive in a fast-paced, growing environment? Join us at Calabrio-Verint and be part of our dynamic team! Help us in reshaping the landscape of customer experience – where every interaction becomes an opportunity, and every insight drives meaningful change.

Calabrio-Verint are the trailblazers in customer experience intelligence! Revolutionizing the way organizations connect with their customers, we empower businesses to elevate every interaction to new heights. Our cutting-edge cloud platform, coupled with AI-driven analytics tools, unlocks the true essence of customer sentiment, turning data into actionable insights with lightning speed.

Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer experience supported by trusted, and resilient business solutions. As an AI Software Engineer, you will design, build, deploy, and optimize AI-powered products and platforms, with a strong focus on LLM applications, agentic AI systems, applied machine learning, backend engineering, data pipelines, evaluation, and production operations. You will turn AI capabilities into reliable business solutions that are scalable, measurable, secure, and maintainable.

This role is ideal for someone who can move beyond experimentation and deliver production-grade AI systems, including autonomous and semi-autonomous AI agents that can reason, plan, use tools, retrieve knowledge, and take actions safely within defined business workflows. Calabrio-Verint has embarked journey and is truly committed to establishing a value fabric that transforms its customer, employee, and stakeholder experiences through seamless integrated, agile, data-driven, and secure Digital Services. Such an endeavor requires leaders passionate about customer experience and committed to consistently delivering value while focusing on digital services with inherent trust and resilience.

What you'll be doing:

Design AI systems
- Build end-to-end AI solutions using machine learning, deep learning, NLP, and generative AI technologies.

Develop LLM-powered applications
- Create applications using foundation models, prompt engineering, retrieval-augmented generation, structured outputs, function/tool calling, and agent workflows.
Build agentic AI solutions
- Design and implement AI agents that can plan, reason through multi-step tasks, interact with external tools and APIs, retrieve relevant context, and execute actions within controlled business processes.
Develop multi-agent and orchestration workflows
- Create orchestrated AI systems where multiple agents or components collaborate to solve complex tasks, with clear control flow, observability, and fallback handling.
Productionize models and AI agents
- Deploy, monitor, and maintain AI/ML models and agentic systems in production environments with strong reliability, performance, and safety standards.
Build data and inference pipelines
- Develop pipelines for ingestion, preprocessing, vector search, model inference, agent memory/context management.
Improve quality and evaluation
- Define offline and online evaluation frameworks for model quality, latency, safety, task completion, agent reliability, and business outcomes.
Optimize performance and cost
- Improve model selection, prompt efficiency, agent orchestration, latency, throughput, caching, token usage, and serving efficiency.
Ensure governance and safety
- Apply best practices for security, privacy, responsible AI, model risk controls, guardrails, agent permissions, compliance, and human-in-the-loop review where needed.

We're looking for:

Problem solver - devise and implement advanced NLP algorithms and LLM models to address intricate challenges in Conversation Intelligence analytics.

Strong team player – works with internal and external stakeholders to solve problems and actively incorporate input from various sources.

Excellent communication skills and collaborative working style.

Ability to think “out of the box”, strong critical thinking and analytical skills.

Bachelor’s degree in Computer Science, Engineering, or a related field required. Master’s degree preferred.
5+ years of end-to-end experience training, evaluating, testing, deploying, and monitoring machine learning models in production.
Hands-on experience building applications with LLMs, prompt engineering, retrieval-augmented generation, structured outputs, and model evaluation.
Experience with frameworks or platforms for LLM and agent orchestration, such as LangChain, LangGraph, Strands AI, or equivalent architectures.
Experience designing or building AI agents that use planning, memory, tool calling, workflow orchestration, agent-to-agent and external system integration to complete multi-step tasks.
Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
Strong understanding of machine learning fundamentals and practical experience with NLP tasks such as text classification, NER, clustering, topic modeling, semantic search, and conversational AI.
Experience with fine-tuning LLMs and transformer-based models such as BERT, RoBERTa, ALBERT, and a solid understanding of tokenizers, embeddings, pre-trained models, and adaptation techniques.
Experience with SQL and NoSQL databases, vector databases or embedding stores, and data pipelines for AI applications.
Experience with model serving, observability, evaluation, error analysis, prompt/version management, and monitoring of AI systems in production.
Familiarity with Linux systems and standard software engineering practices including testing, CI/CD, APIs, and version control.

Nice to have:

Experience with AWS, Azure, or GCP

Experience with Docker and Kubernetes

Experience with ETL and Data Engineering projects

Experience with PostgreSQL, Snowflake, or MongoDB

Experience with Kubeflow, or Airflow

You've learned about what you'll be doing, here are some of the benefits you'll be getting when you join Calabrio:

Global team recognized for their passion and innovation

Innovative product culture and project exposure

Training and development from industry-leading experts

Cutting edge benefit programs that include: medical and dental insurance, disability and life insurance, flexible PTO, paid holidays and parental leave, and more

We offer market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications. Starting rate of pay for this salaried position is targeted at 100,000 CAD.

Calabrio People are: Open, Clear, Ambitious, Accountable, Collaborative, Consistent

What we value most…workplace diversity and ensuring an environment of mutual respect. We believe that diversity and inclusion are critical to our success, and we are proud to be an equal opportunity employer. Our commitment is to continue to keep our people healthy, focused, and inspire creativity. Our team members are offered comprehensive benefits for various life circumstances and needs, great opportunities for career development, and a balanced work-life to achieve personal and professional success (all benefits are subject to eligibility requirements). As an Innovator with Purpose, you’ll feel motivated and genuinely excited to come to work!

Calabrio celebrates and fosters a culture that thrives on diversity. We are an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. We provide employees with a work environment free of discrimination and harassment. All employment decisions at Calabrio are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, parental status, or any other status protected by the laws or regulations in the locations where we operate. We celebrate the >40 nationalities of team members that contribute to our success.

We recognize diversity comes in many forms, to foster an inclusive hiring experience any applicants who qualify under the Americans with Disabilities Act, as amended, or applicable state law, who are unable to comply with Calabrio’s application process due to their disability may be eligible for a reasonable accommodation. Request for accommodation in the application process can be made by emailing recruiting3@calabrio.com. An applicant requesting accommodation may be required to provide support for the requested accommodation. Calabrio will only share information concerning an applicant’s requested accommodation with those individuals who have a specific need to know such information.

Ready for Exponential Career Opportunities? Apply now

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More about this job

Responsibilities

You will design, build, and deploy AI-powered products and platforms with a focus on LLM applications and agentic AI systems. This role involves creating scalable data pipelines, optimizing model performance, and ensuring production-grade reliability and safety for AI solutions.

Requirements

Candidates must have at least 5 years of experience in training, deploying, and monitoring machine learning models in production environments. A bachelor's degree in Computer Science or a related field is required, along with strong proficiency in Python and LLM orchestration frameworks.

Skills

Python
LLM
Machine learning
NLP
Generative AI
Agentic AI
Prompt engineering
Retrieval-augmented generation
LangChain
LangGraph
Backend engineering
Data pipelines
SQL
NoSQL
Vector databases
Cloud platforms

Benefits

Medical insurance
Dental insurance
Disability insurance
Life insurance
Flexible PTO
Paid holidays
Parental leave

Remote locations

Ontario, Canada

Remote locations (standardized)

Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Software Engineering
LLM
Machine Learning
Deep Learning
NLP
Generative AI
Agentic AI
Python
Flask
Django
LangChain
LangGraph
Vector Search
Data Pipelines
Cloud Computing
AWS
Azure
GCP
Docker
Kubernetes
SQL
NoSQL
PostgreSQL
Snowflake
MongoDB
Kubeflow
Airflow
CI/CD
Digital Transformation

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