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Added 11 days ago
OH
Software Developer – NetSuite & Business Systems
O’Dell HVAC Group
Canada
- Full-time
We are seeking a Software Developer – NetSuite & Business Systems to join our technology team and help support, improve and integrate the business systems that power O'Dell's growing…
Added 11 days ago
Quantitative Researcher
Z1 Tech
Vancouver, BC
Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes
Added 11 days ago
X
Senior Full Stack Developer
xMentium
Remote, Canada
- Full-time
- Remote
At xMentium, we help enterprises turn their unstructured language and documents into structured, usable data at scale. Our AI-powered platform, anchored by xTract, transforms sprawling…
Added 11 days ago
I
Devops AI Developer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Part-time
The successful candidate will join the Data & Digital team within Engineering, Innovation & Architecture (EIA). The team consists of junior and senior developers, a Scrum Master, and…
Added 11 days ago
SG
Electronics Engineer
Sander Geophysics
Ottawa, ON
- Full-time
SGL is seeking an Electronics Engineer to work as part of our Engineering and Software teams.
Added 11 days ago
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Lead Business object Power BI
Galent
Mississauga, ON
- Contract
Data Engineering Development PySpark Python Spark SQL and TSQL Fabric Notebooks Delta Tables and Delta Lake dimensional data modeling metadata driven frameworks data transformation…
Added 11 days ago
PI
QA Developer, AI Assistant
Poka Inc.
Montreal, QC
- Full-time
Contributing to adversarial testing: prompt injection, data leaking between customers, getting the assistant to do things it shouldn't.
Added 11 days ago
II
AI (artificial intelligence) Developer - Hybrid
ISAAC Instruments
Longueuil, QC · Saint-Hubert, Québec
- Full-time
As an Artificial Intelligence Solution Developer, you design and implement AI solutions aligned with business needs and ISAAC’s strategic direction. You work across the full solution…
Added 11 days ago
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Senior NLP Engineer
Behavox
Toronto, ON
- $170,000 to $230,000 CAD / year
Data science and model development: Design, train, fine-tune, and evaluate NLP models, and take them from prototype to production with MLOps and engineering.
Added 11 days ago
ZT
Quantitative Researcher
Z1 Tech
Vancouver, BC
- Full-time
Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes
Added 11 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Design and implement Data Engineering and ETL pipelines using PySpark.
Added 11 days ago
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AI Solutions Consultant
SimCorp
Toronto, ON
- $119,040 to $160,040 CAD / year
- Full-time
Understanding of large language models, prompt engineering, MCP servers, system connectors, and API integrations.
Added 11 days ago
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Business Information Management Specialist
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.
Added 11 days ago
C
Senior Automation Developer
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Senior Automation Developer for a fully hands-on, programmatic engineering role dedicated to architecting, refactoring, and maintaining scalable, distributed…
Added 11 days ago
UH
Postdoctoral Researcher
University Health Network
Toronto, ON
- Full-time
We seek a postdoctoral fellow with strong expertise in computational biology, bioinformatics, biomedical data science, and/or AI/ML to join a major interdisciplinary initiative focused on…
Added 11 days ago
II
DevOps Developer - Hybrid
ISAAC Instruments
Saint-Bruno-de-Montarville, QC
- Full-time
…secure and reliable delivery of our software solutions and our data and AI platforms. You ensure the automation, stability and evolution of application environments and act as a facilitator…
Added 11 days ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 11 days ago
Senior IT Support Engineer
Pantheon Systems, Inc
Vancouver, BC
You will report to the Director of IT and collaborate with support and systems engineering teammates across time zones. The role is hybrid and based in the Vancouver, BC area, with regular…
Added 11 days ago
SI
Lead Analytics Engineer - Payments, Identity & Trust and Safety
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
The team. Data & Analytics is building the DNA of an AI native Scribd, Inc. Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A turns fragmented data and…
Added 11 days ago
SI
Lead Analytics Engineer, AI Native Self Service Analytics
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…guide technical decisions credibly. You will connect Analytics Engineering investments to company priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to…
Added 11 days ago
C
Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
Cossette
Montreal, QC
- Full-time
Solides compétences en Python dans un contexte ML/AI, et bonne maîtrise de JavaScript / TypeScript pour l'intégration et le déploiement web.
Added 11 days ago
A
Senior Software Engineer, Builder Studio
Apollo.io
Canada
- Full-time
…sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these…
Added 11 days ago
T
Business Information Management Specialist
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.
Added 11 days ago
SI
AI/ML Engineer
Spait Infotech
Canada
- Full-time
Collect, clean, preprocess, and analyze structured and unstructured data.
Added 11 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience

xMentium

Senior Full Stack Developer

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
Experience: 5+ years of professional software development experience, with demonstrated full-stack depth.
Posting language: English
Posted: Oct 16, 2026

Original job description

ABOUT US

At xMentium, we help enterprises turn their unstructured language and documents into structured, usable data at scale. Our AI-powered platform, anchored by xTract, transforms sprawling repositories of contracts, licenses, technical documentation, communications, and other business-critical documents into clean, queryable metadata that powers analytics, agents, and downstream systems.

We work across industries, including media and entertainment, oil and gas, manufacturing, real estate, financial services, and enterprise AI transformation more broadly, helping customers ground their AI agents, accelerate due diligence, unlock the value trapped in legacy repositories, and finally make their documents work for them.

We understand that life is about more than just work and believe that driving to a headquarters is part of the problem. That's why we're a remote-first company and offer flexible work arrangements that empower you to balance your professional and personal life effectively. Your well-being is important to us, and we encourage a healthy work-life balance to ensure you have time for what matters most to you and can always do what you need to do.

ABOUT THE ROLE

We're looking for a Senior Full Stack Developer to build and maintain production systems for our Document Intelligence platform.

Our extraction engine leverages a wide set of tools such as OCR, LLMs, and purpose-built ML models to extract data from complex documents at scale: legal documents, poor-quality scans, embedded diagrams, tabular images, and dense technical documents to name a few. In addition to automation of data extraction at scale, we emphasize quality with a specialized human-in-the-loop interface, ensuring accuracy of extractions before delivering data downstream. You'll work across our extraction pipeline, web application, and integration layers to produce high quality code and build features at enterprise scale.

The ability to leverage AI tools for rapid development while maintaining a high degree of code quality is crucial to this role. We need someone who can reason through pull requests and talk about why code works, offer technical trade-offs, and suggest improvements. You'll use your technical acumen to judge the output of an LLM to be production-worthy or a confident hallucination. You can discern when something doesn't look right, and collaborate with the team when necessary to ensure high quality as we scale. You don't hand off to QA until you'd sign your name to it.

Our ideal candidate could also contribute as a Forward-Deployed Engineer on our Solutions Delivery Team - a small, tactical group that works directly with customers to deploy and integrate our platform within their environments and third-party systems. This work requires comfort across APIs, databases, and external integration points, with particular attention to security, permissions, reliability, and scalability. You would participate in customer conversations to understand requirements, shape practical solutions, and troubleshoot issues through deployment. We value pragmatic engineers who communicate clearly, collaborate generously, and make sound technical decisions under real-world constraints.

Responsibilities

Design, build, and maintain full-stack features across our Document Intelligence platform (React/TypeScript front-end, Node/Python back-end, PostgreSQL and Graph databases).
Build and maintain extraction pipeline components that orchestrate multiple AI models and tools (LLMs, VLMs, OCR) with deterministic validation layers and automated testing.
Build and maintain integrations with Microsoft ecosystem services (E.g. SharePoint, Azure AI, Copilot Studio, Power Platform, MCP).
Debug complex issues across distributed systems, such as pipeline failures and optimization tuning.
Contribute to internal tooling, automation, and developer experience improvements.
Stay current with industry trends and recommend new tools or approaches where they genuinely improve the product or process.

5+ years of professional software development experience, with demonstrated full-stack depth.
Strong proficiency in TypeScript, React, Node.js, and PostgreSQL. Python experience valued.
Production experience building systems that integrate LLMs/AI models: using APIs, managing prompts, handling nondeterministic outputs, implementing validation, and controlling cost.
Solid understanding of software architecture fundamentals: design patterns, separation of concerns, and the ability to assess whether a proposed approach will hold up as the system grows.
Strong Git workflows, CI/CD practices, and automated testing discipline.
Conduct rigorous code reviews, evaluating for correctness, security, and maintainability. You provide pragmatic feedback on security, anti-patterns, testing gaps, and architectural misalignments while balancing efficient delivery and overall system quality.
Clear, direct communication. Ability to raise concerns, ask good questions, and collaborate without ego.

Preferred Qualifications

Familiarity with multi-modal AI systems and automation workflows.
Experience with SharePoint APIs and Microsoft 365 integration patterns.
Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code.
Experience in document processing, metadata extraction, or enterprise content management domains.
Experience with automated testing tools and frameworks such as Playwright.
Familiarity with MCP (Model Context Protocol), RAG (Retrieval Augmented Generation) and similar agent-based concepts.

Solutions Delivery Experience (Valued)

Third-party integrations. Experience building and maintaining integrations with external systems. Working through multiple APIs, varied authentication models, and real-world data quality issues to deliver reliable solutions.
API and database fluency. Strong hands-on experience designing, building, and troubleshooting RESTful APIs and working with relational databases in production environments.
Customer-facing communication. Comfortable joining calls with customers or partners to scope technical requirements, explain trade-offs in plain language, and collaborate on solutions without needing a translator between engineering and business.
A team player who makes practical decisions under real constraints: balancing quality, timeline, and scope without over-engineering or cutting corners. You solve the problem in front of you and move on.

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More about this job

Responsibilities

Build and maintain full-stack features, AI-powered document extraction pipelines, and integrations for the Document Intelligence platform. Debug distributed systems, improve internal tooling and developer experience, and contribute to customer deployments by shaping integrations and troubleshooting technical issues.

Requirements

Requires at least five years of professional software development experience, strong full-stack proficiency with TypeScript, React, Node.js, and PostgreSQL, and production experience integrating AI models with validation and cost controls. Candidates should understand software architecture, testing, CI/CD, and rigorous code review, and communicate clearly; Python experience is valued.

Skills

TypeScript
React
Node.js
PostgreSQL
Python
LLM Integration
AI Model Integration
RESTful APIs
Graph Databases
Microsoft 365 Integration
SharePoint APIs
Automated Testing
CI/CD
Code Review
Software Architecture
Customer Communication

Visa sponsorship

Not detected in the job text

Keywords

Document Intelligence
Document Processing
Metadata Extraction
TypeScript
React
Node.js
Python
PostgreSQL
Graph Databases
LLMs
VLMs
OCR
Microsoft 365
SharePoint
Azure AI
Copilot Studio
Power Platform
MCP
RAG
RESTful APIs
Docker
Kubernetes
Infrastructure as Code
Playwright
CI/CD
Automated Testing
Human-in-the-Loop
Prompt Management
Distributed Systems
Enterprise Content Management

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