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Added 1 month ago
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Senior Applications Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
…within Equities Technology. This role is for a hands-on Software Engineer experienced in JVM-based languages development who has strong architectural and design expertise to work on the…
Added 1 month ago
Software Engineer - Monitoring
Motive
Vancouver, BC
As a Staff Software Engineer on the Equipment Monitoring team, you will build the backend systems that give fleets unmatched visibility into the location, utilization, and health of their…
Added 1 month ago
A
Team Lead, Senior Fullstack Engineer
Arcadia
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
A fast-growing AI software company is hiring a Team Lead, Senior Full Stack Software Engineer in Toronto to help build a modern enterprise platform used to manage, monitor, and scale AI…
Added 1 month ago
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Staff Software Engineer
VGS
Canada
- Full-time
…with a highly consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems…
Added 1 month ago
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Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon
Vancouver, BC
- Full-time
…to inform an architecture decision. Later, you pair with an engineer to add a new capability to an agent's tool registry, then validate it doesn't degrade downstream quality. You end the…
Added 1 month ago
C
Senior Software Engineer II, KYC
Carta
Waterloo, ON
- Full-time
As a Senior Software Engineer II, KYC, You Will Lead Technically Complex Projects And Serve As a Multiplier For Your Team. You’ll Work To
Added 1 month ago
C
Senior Software Engineer II, KYC
Carta
Toronto, ON
- Full-time
As a Senior Software Engineer II, KYC, You Will Lead Technically Complex Projects And Serve As a Multiplier For Your Team. You’ll Work To
Added 1 month ago
Software Engineer, Early Career - Immediate Start
Stripe
Toronto, ON
Experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be…
Added 1 month ago
PG
AI Platform Engineer
Pacer Group
Halifax, NS
- $55 to $60 CAD / hour
- Contract
Must have exp
Added 1 month ago
ES
Software Engineering Team Lead
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Team Lead at Exchange Solutions, you are the senior hands-on engineer on your team, delivering a product area of our platform. You set the technical standard in the code your team…
Added 1 month ago
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Sr. Software Engineer - Fullstack
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer – Full Stack with 6+ years of professional software development experience to help build a new, scalable authentication platform.
Added 2 months ago
AI
Senior AI Engineer – JVM Engineering (Java/Kotlin), Knowledge Graphs, MCP
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Work Schedule: Hybrid, Tuesday to Thursday, 8:30 AM to 5:00 PM EST (3 days per week required in office)
Added 1 month ago
Senior Software Engineer, Agent Gateway
Okta
Toronto, ON
Okta is looking for a Senior Software Engineer to help build the Agent Gateway. You will own features and components across the data and control planes, turning technical designs and…
Added 1 month ago
Senior Software Engineer II, KYC
Carta
Toronto, ON · Waterloo, ON
As a Senior Software Engineer II, KYC, you will lead technically complex projects and serve as a multiplier for your team. You’ll work to:
Added 1 month ago
O
Senior Software Engineer, Agent Gateway
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Okta is looking for a Senior Software Engineer to help build the Agent Gateway. You will own features and components across the data and control planes, turning technical designs and…
Added 1 month ago
SDET Contractor
PlayStation Global
Waterloo, ON
We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role…
Added 1 month ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
Must have logical aptitude to understand interactions/workings of systems
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
Able to work in-person in our Toronto office 2 days per week
Added 1 month 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 1 month ago
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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 1 month ago
C
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 1 month ago
C
AI Engineer Intern (Winter 2027)
Ciena
Ottawa, ON
- Full-time
The must haves:
Added 1 month ago
GM
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 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
Must have strong knowledge of identity and Access Management, API Connectivity, Model Context Protocol (MCP), Data Security and API security
Added 1 month 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…

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Senior AI Engineer – JVM Engineering (Java/Kotlin), Knowledge Graphs, MCP

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 22, 2026

Original job description

Role: Senior AI Engineer

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

We are looking for an experienced and highly motivated Senior AI Engineer to join the 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.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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

• 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.

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

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More about this job

Responsibilities

Design and build agentic analytical workflows that coordinate large language models and tools while ensuring results are grounded in source evidence. Manage the knowledge graph ingestion pipeline and expose system capabilities through open agent interfaces like MCP.

Requirements

Requires 6-10 years of experience in production software development with strong JVM engineering skills and hands-on expertise in GenAI patterns. Candidates must demonstrate proficiency in graph databases, cloud infrastructure, and the ability to own the full delivery path to production.

Skills

Java
Kotlin
Scala
Agentic systems
Large language models
Knowledge graphs
Neo4j
MongoDB Atlas
GraphRAG
Model Context Protocol
Cloud infrastructure
CI/CD
Observability
Prompt engineering
Vector search
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

JVM
Java
Kotlin
Scala
Agentic workflows
Large language models
Knowledge graphs
MCP
Neo4j
MongoDB Atlas
GraphRAG
Embeddings
Cloud infrastructure
CI/CD
Observability
Akka SDK
Azure
Docker
Kubernetes
Prompt engineering
Vector search
Document intelligence
OCR
Apache POI
PDFBox
Pptxgenjs
Git
Data engineering
Software architecture
AI governance

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Jobs in Canada