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Added 5 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.
Added 5 days ago
Java Developer Contract
Millennium Software and Staffing Inc
Montreal, QC
Contract
We're seeking a Java Engineer to join our Firm Market Risk Technology team. In this role, you will develop and enhance the Firm's Market Risk Platform.
Added 5 days ago
Engineering Excellence NAM - SVP
Citi
Mississauga, ON
Full-time
…distance. This is a role for someone who can walk into a room of senior engineers, earn their respect by talking code, and then turn around and articulate a compelling vision for why…
Added 5 days ago
Senior Java Software Engineer
LanceSoft, Inc.
Montreal, QC
Contract
The ideal candidate will support designing, building, and integrating systems. Java and Web development experience is essential. Strong communication and interpersonal skills are essential.…
Added 5 days ago
Senior Full-Stack Software Engineer
Manulife
Toronto, ON
Full-time
At Manulife, we're transforming how technology supports investment decision-making. As a Senior Full-Stack Engineer, you'll work alongside talented engineers, architects, and business…
Added 5 days ago
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 5 days ago
Senior Software Developer
General Motors
Oshawa, ON
Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 5 days ago
Senior Software Developer
General Motors
Markham, ON
Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…
Added 5 days ago
Tech Consultant - Senior Full-Stack Engineer
NTT DATA North America
Vancouver, BC
Other
We are seeking an experienced Senior Full Stack Engineer to design, develop, and deliver scalable, secure, and high-performing enterprise applications. The ideal candidate should have…
Added 5 days ago
Senior Full Stack Developer (React/Typescript/Node.js)
Affinity
Canada
Full-time
Overview: On behalf of our client, Affinity is seeking an experienced Senior Full Stack Developer to join their engineering team in Canada. This is a full-time opportunity for a seasoned…
Added 5 days ago
Senior Java Software Engineer
Jobility Talent Solutions
Toronto, ON
Contract
Job Title: Java Developer – Capital Markets (eTrading)
Added 5 days ago
Senior Java Software Engineer
TSR Consulting
Mississauga, ON
Contract
We are seeking a highly skilled and passionate Senior Java Backend Developer to join our engineering team as a Senior Individual Contributor. In this role, you will be responsible for…
Added 5 days ago
Senior Java Fullstack Developer
TSR Consulting
Mississauga, ON
Contract
We are seeking a Senior Software Engineer - Java - Senior (C13), Full Stack to join our dynamic team. The ideal candidate will have strong experience in Java, Spring Boot, Spring Cloud, and…
Added 1 month ago
Sr. DevSecOps Engineer
Rogers Communications
Brampton, ON · Toronto, ON
We are currently seeking a Sr DevSevOps Engineer to join the Rogers Enterprise DevSecOps Engineering Team. Working from Toronto or Brampton office, you will work with the Enterprise DevOps…
Added 5 days ago
Senior Full Stack Software engineer
Affinity
BC · British Columbia, Canada
Full-time
On behalf of our client, Affinity is seeking an experienced Senior Full Stack Developer to join their engineering team in Canada. This is a full-time opportunity for a seasoned engineer who…
Added 6 days ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
As a Senior Software Engineer, you will help design, build, and operate core components of the service while solving complex challenges across distributed systems, database technologies,…
Added 5 days ago
Senior Data Engineer
Leni
Toronto, ON
Full-time
The Senior Data Engineer role at Leni is a full-time, hybrid position based in Toronto, ON, with flexibility for partial work from home. In this role, the Senior Data Engineer designs,…
Added 5 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Data based in Canada .
Added 6 days ago
Staff, Site Reliability Engineer(Global Security)
RBC
Vancouver, BC · Halifax, NS · Toronto, ON
Full-time
We are seeking an experienced and hands-on Staff Site Reliability Engineer (SRE) who is passionate about building scalable systems, automating infrastructure, and improving the reliability…
Added 6 days ago
Senior Machine Learning Engineer
RBC
Calgary, AB · Toronto, ON
Full-time
We are seeking a talented Senior Machine Learning Engineer to join our AI & Innovation team at Royal Bank of Canada. In this role, you will drive the development and deployment of…
Added 5 days ago
Java/AI Software Engineer
Aptonet
Vancouver, BC
Full-time
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 6 days ago
Senior Java & Apache Spark Developer
Aptino, Inc.
Quebec, QC
Contract
We are seeking a Senior Java & Apache Spark Engineer to join our engineering team and build scalable, high-performance, data-intensive applications.
Added 6 days ago
Staff, Site Reliability Engineer(Global Security)
Royal Bank of Canada
Vancouver, BC · Halifax, NS · Toronto, ON
Full-time
We are seeking an experienced and hands-on Staff Site Reliability Engineer (SRE) who is passionate about building scalable systems, automating infrastructure, and improving the reliability…
Added 6 days ago
Senior Machine Learning Engineer
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
We are seeking a talented Senior Machine Learning Engineer to join our AI & Innovation team at Royal Bank of Canada. In this role, you will drive the development and deployment of…
Added 5 days ago
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
Contract
As “Principal Consultant, Agentic AI Cybersecurity Engineer” you will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the…

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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