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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 2 hours ago
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Python Gen AI developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 2 hours ago
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Python Gen AI
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 2 hours ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…experiences that power our cutting-edge search, recommendations, and generative AI features. This full stack team builds and owns the end-to-end discovery experience across Scribd and…
Added 5 hours ago
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Technical Sales Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
As demand for generative AI, high-performance computing and cloud solutions rapidly expands, there has never been a more exciting time to join our team.
Added 6 hours ago
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GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 7 hours ago
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Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We help train advanced generative systems by providing human feedback on AI agents.
Added 7 hours ago
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GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 8 hours ago
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Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Added 8 hours ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
…and unstructured data used across AI, machine learning, and Generative AI…
Added 9 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 9 hours ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…
Added 10 hours ago
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AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Hands-on experience with Generative AI / LLMs and applying AI to enterprise automation or testing use cases.
Added 10 hours ago
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Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
MLOps Developer / DevOps Infrastructure Engineer
Added 10 hours ago
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AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
AI Developer (Generative AI / Machine Learning)
Added 10 hours ago
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Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Understanding and practical application of Generative AI concepts in software development.
Added 11 hours ago
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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 11 hours ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 11 hours ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
We are looking for a hands-on engineer who can build and deploy production-grade Agentic AI and multi-agent systems using Google ADK and MCP, while developing scalable AI platform…
Added 12 hours ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 13 hours ago
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Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 13 hours ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment.

Realtek Consulting LLC

Senior AI Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Senior AI Engineer

Job Location: Toronto,Ontario-3days per week in office Required-Hybrid

Job Type:Long Term Contract

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).

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.

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More about this job

Responsibilities

Build and operate production AI and large-language-model systems, including graph- and document-based retrieval, agent workflows, and integrations. Own delivery from architecture and testing through deployment and reliability, including deterministic generation of Word, PowerPoint, PDF, or Excel documents.

Requirements

Requires 6–10 years of production software engineering experience, strong JVM skills, and hands-on delivery of production GenAI systems using patterns such as tool calling and retrieval-augmented generation. Candidates must demonstrate database and vector-search experience, production ownership, evaluation of non-deterministic systems, and strength in either platform reliability or programmatic document generation.

Skills

Java
Kotlin
Knowledge Graphs
Neo4j
Cypher
GraphRAG
Model Context Protocol
Generative AI
Retrieval-Augmented Generation
Vector Search
Docker
Kubernetes
CI/CD
Observability
Document Generation
Apache POI

Visa sponsorship

Not detected in the job text

Keywords

Java
Kotlin
Scala
Neo4j
Cypher
GraphRAG
Model Context Protocol
Agent-to-Agent Interoperability
Generative AI
Large Language Models
Prompt Engineering
Structured Outputs
Tool Calling
Retrieval-Augmented Generation
Vector Search
Embeddings
MongoDB Atlas
Azure OpenAI
Docker
Kubernetes
CI/CD
Observability
Apache POI
PDFBox
pptxgenjs
Office Open XML
Temporal
Akka SDK
Document Intelligence
OCR

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