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Added 4 days ago
Big Data Developer
Cogency
Toronto, ON
Full-time
Cogency Inc. is seeking a skilled Big Data Developer / Data Engineer with strong expertise in Spark, Snowflake, AWS, Airflow, Big Data technologies, and ETL. The successful candidate will…
Added 4 days ago
Senior Data Engineer - Snowflake & DBT Cloud
Enterprise Solutions Inc.
Markham, ON
Contract
5 years of experience with coding in multiple programming languages such as Python and Java
Added 4 days ago
ML Engineer
J&M Group
Mississauga, ON
Contract
We are looking for an ML engineer with expertise in Unity Catalog and Feature Store in Databricks to help us build and maintain a solid foundation for our data and machine learning…
Added 5 days ago
Sr. Software Engineer - Java, API, Microservices
Motorola Solutions
Gatineau, QC · Quebec, QC · ON
Full-time
Good knowledge of JAVA and its development ecosystem.
Added 4 days ago
Staff Fullstack Engineer, SecureAI
Okta
Toronto, ON
As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You will be working on the designs and…
Added 4 days ago
Engineering Manager - API
Craver
Remote, Canada
Full-time · Remote
Senior-level backend engineer who maintains deep, hands-on proficiency - you contribute code, review PRs, and lead design discussions as a matter of course
Added 25 days ago
Engineering Manager - API
Craver
Canada
Full-time
Senior-level backend engineer who maintains deep, hands-on proficiency - you contribute code, review PRs, and lead design discussions as a matter of course
Added 4 days ago
Intern Technology & Data Winter 2027
CPP Investments | Investissements RPC
Toronto, ON
Full-time
You will join us as a Junior Engineer Intern for the Fall 2026 and/or Winter 2027 in the Technology & Data Department for a 4-month, 8-month or 12-month internship based on your…
Added 5 days ago
Quality Engineer II
TD
Toronto, ON
Full-time
Proficiency in Java-based test automation using REST Assured and JUnit or TestNG, or equivalent enterprise-grade frameworks.
Added 5 days ago
2027 Investor Services, PEY Software Engineer (12 months)
Royal Bank of Canada
Toronto, ON
Full-time
Join Royal Bank of Canada as a Software Engineer Intern within the Investor Services - Data & Digital - Business Intelligence group. This internship offers hands-on experience developing…
Added 5 days ago
Senior Software Development Engineer (SDE3) – Customer Data Platform
Remitly
Burnaby, BC
Full-time
We are looking for a Senior Software Development Engineer (SDE3) to join the Customer Data Platform team within the Identity & Trust organization.
Added 5 days ago
2027 Investor Services, PEY Software Engineer (12 months)
RBC
Toronto, ON
Full-time
Join Royal Bank of Canada as a Software Engineer Intern within the Investor Services - Data & Digital - Business Intelligence group. This internship offers hands-on experience developing…
Added 5 days ago
Software Engineer I (Java)
TD
London, ON · Toronto, ON
Full-time
Global Technology & Solutions, Servicing Platform's team is looking for a highly motivated Software Engineer to support our Retail Branch Service applications.
Added 4 days ago
Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
Full-time
We are seeking a Senior Penetration Tester / Red Team Engineer to support offensive security initiatives through advanced penetration testing, red team operations, and custom security tool…
Added 5 days ago
AI Engineer Intern (Winter 2027)
Ciena
Ottawa, ON
Full-time
Proficiency in at least one general-purpose programming language, such as Python, JavaScript, TypeScript, Java, or C++, and willingness to learn new languages and tools.
Added 5 days ago
Senior Android Developer - Trailering Application
General Motors
Markham, ON · Oshawa, ON
Full-time
GM is looking to hire a Senior Android Software Engineer to lead design, development, and long‑term maintenance of in‑vehicle infotainment (IVI) apps on Android Automotive OS (AAOS) for…
Added 4 days ago
Artificial Intelligence Engineer
Pacer Group
Toronto, ON
$70 to $75 CAD / hour
Contract
Job Title: Senior AI Engineer -JVM Engineering (Java, Kotlin)
Added 5 days ago
AI Security Engineer
Celestica International LP
Toronto, ON
Demonstrated development experience including Coding or Scripting experience (ie. Python, Powershell, Java, .NET)
Added 5 days ago
Software Engineer - Consultant
EY
Toronto, ON
…Engineering, with a particular focus on their relevance to Full stack, Java, Microservices, DevOps functions, .Net, C# Python, SQL (MySQL), JavaScript, Spring boot, API Integration…
Added 5 days ago
Cloud Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
Programming and scripting capabilities with proficiency in multiple languages such as Java, JavaScript, YAML, Python, .Net, or other relevant languages
Added 5 days ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver large-scale, customer-facing platforms that power how…
Added 5 days ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Mobile Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver customer-facing mobile experiences that power…
Added 4 days ago
Integration Engineer (Boomi/Workato)
Russell Tobin
Toronto, ON
$65 to $70 CAD / hour
Contract
Job Title: Integration Engineer (Boomi/Workato)
Added 4 days ago
DATA ENGINEER
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
…#DataAnalytics #DataWarehouse #ETL #Oracle #SQL #PLSQL #Python #Java #API #SDK #Citi #CitiBank #MississaugaJobs #CanadaJobs #TorontoJobs #FullTimeJobs #ITJobs #TechJobs #Hiring #JobSeekers…
Added 4 days ago
Senior AI Engineer
Net2Source (N2S)
Toronto, ON
Contract
We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.

Net2Source (N2S)

Senior AI Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 16, 2026
Posting language: English
Posted: Sep 16, 2026

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Original job description

Role: Senior AI Engineer

Work Schedule: Toronto, Ontario, Canada, Hybrid, Tuesday to Thursday, 8:30 AM to 5:00 PM EST (3 days per week required in office)

Mandatory Skills:

JVM Engineering (Java/Kotlin)

Knowledge Graphs (Neo4j, Cypher, GraphRAG)

MCP (Model Context Protocol)

Production Platform Engineering (CI/CD, Docker, Kubernetes, Observability)

Document Generation & Rendering (Apache POI, PDFBox, pptxgenjs, Office Open XML, Word/PPT/PDF generation, template management)

We are looking for an experienced and highly motivated Senior AI Engineer to join Canada segment’s Technology Strategy team.

In this role, you will design and build the agentic workflow that breaks a complex analytical engagement into stages, coordinates large language models and tools, and keeps every result grounded in source evidence. You will be accountable for how the system stores and retrieves knowledge, how it exposes its capabilities to other agents and assistants, and how it proves that what it produces is faithful to the source.

Position Responsibilities

You are an expert in agentic systems, knowledge graphs, AI-enabled document generation and rendering, with extensive knowledge in cloud infrastructure, the AI service stack, CI/CD, and observability. You will work closely with engineering and business partners to deliver an AI system that is accurate, explainable, safe to operate, and presentable to the business.

Design and build the agentic analysis workflow

Model a long-running, multi-stage analytical workflow as a sequence of AI-agent steps that can pause, resume, and recover without losing work.

Orchestrate large language models and tools (retrieval, calculation, rules, and structured extraction) into reliable, traceable steps.

Engineer prompts and structured-output contracts so each step returns validated, machine-usable results rather than free text.

Build on an event-sourced service framework (for example, the Akka SDK) where state, decisions, and evidence are persisted at every step.

Build and operate the knowledge graph

Design and run the knowledge graph that stores entities, relationships, and provenance extracted from the source corpus (for example, Neo4j or MongoDB Atlas).

Build the ingestion and extraction pipeline that turns raw documents into a validated, queryable graph, with every fact citing its source.

Implement graph-based and vector retrieval (GraphRAG and embeddings) so agents answer from grounded evidence rather than memory.

Expose capabilities through open agent interfaces

Build Model Context Protocol (MCP) tool servers and agent-to-agent (A2A) interfaces, so the system's capabilities are available to external assistants and to larger multi-agent workflows.

Integrate with MCP-compatible clients and low-code agent builders, for example Microsoft Copilot Studio agents, so business users can query the graph and trigger analysis conversationally.

Build a conversational interface that answers questions strictly from the grounded knowledge graph.

Set a high bar for grounding, evaluation, and safety

Implement anti-hallucination controls: every output statement traces to a cited source, and anything unsupported is flagged or withheld.

Build automated evaluation (section-level scoring, regression tests, edge-case coverage, and human-review rubrics) and turn it into clear acceptance criteria.

Add guardrails for prompt injection, data minimization, and safe output, with explicit human-in-the-loop checkpoints, and produce the evidence that AI and model-governance review will ask for.

Get it to production, and keep it there

Own the path from code to production: build and deployment pipelines, environment configuration, secrets, and access, on an enterprise container and agent-hosting platform.

Work with the cloud AI building blocks the system depends on: managed model endpoints, search and retrieval, document storage, document intelligence (OCR), and the graph datastore.

Put logging, metrics, tracing, and alerting across the workflow, define health checks and recovery for long-running jobs that must resume after failure, and watch the cost, latency, and rate limits of model and retrieval calls before they become an incident.

Stand behind the deliverables

Own the data contract between the analytical layer and the rendering layer, so structured output maps cleanly onto rendered components.

Keep generation deterministic and testable: the same input produces the same document, so a regression fails the build instead of surfacing in a business review.

Work with the rendering toolchain (for example Apache POI, PDFBox, or pptxgenjs) closely enough to diagnose a broken deliverable, extend a template, and hold the line on structural fidelity: required sections, tables, ordering, and cross-format consistency.

Required Qualifications

These apply to everyone we will consider.

6-10 years building production software, including recent hands-on delivery of AI or large-language-model systems beyond prototypes.

Strong JVM engineering (Java; Kotlin or Scala a plus) with solid practices: Git workflows, code review, automated testing, structured logging, and clean design.

Hands-on experience with modern GenAI patterns: prompt engineering, structured or JSON outputs, tool and function calling, retrieval-augmented generation, and agentic workflows.

Experience designing and querying a graph or document database (Neo4j and Cypher, or MongoDB Atlas) and using vector search and embeddings for semantic retrieval.

A track record of owning your own delivery path: you have taken something you built through a pipeline into production and operated it, rather than handing it over.

Practical experience evaluating non-deterministic systems: test design, quality scoring, regression suites, and translating evaluation into business-ready acceptance criteria.

Demonstrated ability to design and explain solution architecture (data flow, runtime flow, interfaces, failure modes, and controls) and to explain model behaviour, limitations, and trade-offs in plain language.

And real strength in one of these two adjacent areas

Platform and reliability: a major cloud (Azure preferred), containerized deployment with Docker and Kubernetes, CI/CD, observability, and automated quality gates on a service you ran in production.

Deliverable generation and rendering: producing Word, PowerPoint, PDF, or Excel output programmatically with libraries such as Apache POI, PDFBox, or pptxgenjs, making that output deterministic and testable, and moving comfortably between a JVM service and a Node.js rendering toolchain.

Preferred Qualifications

Experience with the Model Context Protocol (MCP), building tool or resource servers and clients, and with agent-to-agent (A2A) interoperability.

Experience integrating with low-code agent platforms such as Microsoft Copilot Studio.

Experience with event-sourced or workflow frameworks (for example, the Akka SDK, Temporal, or similar) for long-running, restart-safe processes.

Experience with cloud AI services (for example, Azure OpenAI or Azure AI, or equivalent), GraphRAG, and document-intelligence or OCR pipelines.

Experience building conformance, golden-output, or contract-test harnesses.

Comfort across languages: Python and Bash for tooling, and the ability to read a Node.js codebase as readily as a JVM one.

Familiarity with Office Open XML internals, or with rendering diagrams and charts programmatically (SVG, layout engines such as elkjs, or headless rendering).

Experience implementing GenAI guardrails and delivering under formal AI or model-risk governance.

Comments for Suppliers: Need Additional Candidates- Mandatory Skills:

JVM Engineering (Java/Kotlin)

Knowledge Graphs (Neo4j, Cypher, GraphRAG)

MCP (Model Context Protocol)

Production Platform Engineering (CI/CD, Docker, Kubernetes, Observability)

Document Generation & Rendering (Apache POI, PDFBox, pptxgenjs, Office Open XML, Word/PPT/PDF generation, template management)

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