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Business System Analyst
IMCS Group
ON · Ontario, Canada
- Contract
The business team is responsible for the creation of the L2 Model, supported by the Project Business Analyst, Solution Architect, and TSBI.
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Director, Domain Enterprise Architect (AI)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
The Director, Domain Enterprise Architect (Artificial Intelligence - AI) is accountable for the enterprise AI architecture domain, ensuring all AI, Generative AI, Agentic AI, machine…
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Architecte PLM Senior / Senior PLM Architect
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Added 30 mins ago
CL
Solution Architect- .NET (microservices)
Charger Logistics Inc.
Brampton, ON
- Full-time
We're looking for a hands-on .NET Solution Architect to lead the design and evolution of our distributed platform: more than 100 microservices built mainly on .NET Core and PostgreSQL.…
Added 1 hour ago
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IT Architect II
TD
Mississauga, ON · Toronto, ON
- Full-time
Contribute to, design and/or develop an architecture framework including technology domain architecture strategy, policies, ‘guiding principles’ and standards to govern how technology…
Added 2 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain SaaS and on-premise applications and modern platforms (e.g., ERP), including configuration, troubleshooting, vendor escalation, and application lifecycle…
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CYBERSECURITY ENGINEER
Adacel
Montreal, QC
- Full-time
Added 2 hours ago
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AI Engineer
Virtusa
Toronto, ON
- Full-time
Fine-tune open-source and foundation LLMs to improve domain-specific performance and accuracy.
Added 2 hours ago
MD
Information Technology Specialist 5 - Unified Communications & Collaboration Architect
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Saint-Paul, NB · St.-Paul, NB
- Full-time
Working Title: Unified Communications & Collaboration Architect
Added 3 hours ago
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Lead SAP TMS Consultant
Infosys
Calgary, AB
- Full-time
Good understanding of business processes in the life sciences / pharmaceutical domain.
Added 3 hours ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
Partner with Product, Architect, QA, and UX on sandbox-first proofs before entitle/deploy
Added 3 hours ago
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Portfolio Architect
Cenovus Energy
Calgary, AB
- Full-time
Reporting to the Senior Manager Architecture, the Portfolio Architect will bring expertise in the oil and gas industry and a practical understanding of upstream business capabilities,…
Added 4 hours ago
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Senior Functional Analyst - Cross-Functional Data Integration
Maarut
Montréal-Est, QC · Montreal /Quebec, Quebec
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▸ Integration architect or developer profile whose
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Data Business Analyst - PL/SQL, T-SQL & Data Warehousing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Skills: Business Analysis, Solution and Functional Architect (SAFA), Data Analytics & Insights – ignio AIOps
Added 5 hours ago
IS
AI Solution Architect / Partner (Banking)
Iris Software Inc.
Toronto, ON
- Full-time
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a AI Solution Architect / Partner (Banking) for a long term opportunity at Remote.
Added 6 hours ago
ZC
Engineering Lead
Zaya Care
Toronto, ON
- Full-time
Hands-on full-stack architect: You design and build systems end to end, from React/Next.js to backend services, APIs, databases, and integrations, and still take pride in shipping…
Added 6 hours ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, prompt-based applications, and emerging technologies.
Added 9 hours ago
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Solutions Architect, Salesforce Migrations (Data360, Revenue, Tableau, or Marketing Clouds)
Salesforce Partner Canada
Toronto, ON
- Full-time
The Solutions Architect, Salesforce Migrations is an individual contributor who leads complex customer migration engagements from kickoff through successful go-live. You serve as the…
Added 10 hours ago
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GCP Infrastructure & Cloud SRE Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
GCP Professional Cloud Architect/DevOps Engineer certification.
Added 13 hours ago
CO
Application & Integration Technical Analyst
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Architect, build and maintain SaaS and on-premise applications and modern platforms (e.g., ERP), including configuration, troubleshooting, vendor escalation, and application lifecycle…
Added 17 hours ago
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Application & Integration Technical Analyst
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Saint John, NB
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Architect, build and maintain SaaS and on-premise applications and modern platforms (e.g., ERP), including configuration, troubleshooting, vendor escalation, and application lifecycle…
Added 18 hours ago
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SAP Finance Domain Architect
Talan
Toronto, ON
- $170,000 to $200,000 CAD / year
- Full-time
Reporting to the Vice President, Delivery, the SAP Finance Domain Architect serves as Talan’s functional authority for SAP finance processes and plays a central role in developing new…
Added 18 hours ago
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IAM Advisor
Raise
Vancouver, BC
- Full-time
Architect, update, and implement enterprise IAM standards, governance frameworks, policies, and operating models.
Added 18 hours ago
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Business Line Leader - Mission Training & Advanced Capabilities-EN
CAE
Montreal, QC
- Full-time
The focus market includes multi-domain mission training and readiness across all five domains, supporting capabilities such as integrated air and missile defence, uncrewed and autonomous…
Added 18 hours ago
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SAP Customer Solution Director
Talan
Montreal, QC
- $170,000 to $220,000 CAD / year
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…response, while technical architecture remains with the Solution Architect or Enterprise Architect and execution, staffing and margin remain with project management and delivery leadership.…

Supra ITS

AI Engineer

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

About Supra ITS

Supra ITs builds an enterprise agent platform that customers run in the cloud or on-prem. Admins create and entitle custom agents (prompts, tools, knowledge). End users chat with those agents over documents, SQL, policy RAG, and operational systems (e.g. ticket triage, order audit, product intelligence).

The platform is a real product: FastAPI + LangGraph agents, React admin/chat UI, Postgres/Supabase, Qdrant, MCP tool servers, LiteLLM gateway, dual-cloud (AWS/GCP) and Docker/Kubernetes installs.

The role

You will own agent runtime and AI-adjacent backend: how skills are built, how tools are called, how retrieval and file context work, and how LLM traffic is routed, attributed, and kept safe. You will ship with Test Driven Development, architecture decision records, and story-level acceptance criteria - not notebooks that never reach production.

You Will Work Across

LangGraph / Deep Agent graphs (ReAct, multi-step research, custom skills)
Tooling: native file/SQL/todo tools, MCP (policy search, Graph files, customer systems)
RAG & retrieval: Qdrant collections per agent, hybrid/keyword fallback, knowledge ingest vs chat attachments
AI Gateway: LiteLLM, model aliases, spend attribution, fail-clear routing
Product surfaces: Agent Chat, Admin Builder, Sandbox, entitlements/deploy

Frontend (React/TypeScript) is not the primary hire, but you will touch chat/sandbox contracts when the agent loop or upload path changes.

What You Will Do

Design and implement agent loops: system prompts, tool selection, state (messages, virtual FS, conversation persistence), streaming SSE
Add or harden tools (MCP and native) with clear failure modes - no silent drops, no leaking secrets in client errors
Improve retrieval quality (chunking, embeddings, hybrid search, citations grounded in tool output)
Integrate the LiteLLM gateway: routing, timeouts, streaming, per-agent/skill attribution
Keep chat attachments, durable conversation artifacts, and knowledge corpus on the correct stores (they are not the same)
Write pytest (and Vitest when you change UI contracts); trace work to user stories and ADRs
Partner with Product, Architect, QA, and UX on sandbox-first proofs before entitle/deploy
Support on-prem and dual-cloud constraints: Postgres as source of truth, no “works only on one vendor’s blob store”

Must-have Qualifications

Strong Python in production services (FastAPI or similar)
Hands-on LLM application work: function/tool calling, RAG, prompt + eval loops - not only wrapping a chatbot widget
Comfort with LangChain / LangGraph (or equivalent graph/agent orchestration) and debugging multi-turn tool traces
Solid SQL / Postgres; you can reason about migrations, RLS, and “this belongs in a row vs object storage”
TDD habit: you write the failing test first for services that can lie to users (file extract, persist, authz)
Clear written design: you can explain trade-offs (e.g. hydrate files from DB vs S3) to non-research stakeholders
[3–5+ years] software engineering, including [1–2+] years shipping LLM features

Nice to have

Vector DBs (Qdrant), embeddings pipelines, hybrid/BM25 + dense retrieval
MCP servers or OpenAI-compatible tool catalogs
LiteLLM, Azure OpenAI / Anthropic, gateway or router experience
React/TypeScript (Vite) enough to wire FormData, SSE, and admin sandbox
Knowledge graphs / Neo4j (Product Intelligence / Deep Research)
Enterprise authz (JWT, RBAC, entitlements), OWASP-minded reviews
Docker/Kubernetes, AWS and/or GCP, on-prem install empathy
Domain exposure: manufacturing/distribution, ticketing (ConnectWise-class), policy/audit workflows

What This Role Is Not

Training or fine-tuning foundation models as the main job
Pure data science / notebook research with no production bar
Prompt-only “AI consultant” without owning the runtime

How We Work

Stories → ADRs → TDD implementation → review → QA. Caps and fail-closed behavior are product requirements (e.g. max files per turn, no silent truncate). You will be expected to prove behavior in Admin Sandbox the same way production Chat works.

Skills: langchain,sql,python

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More about this job

Responsibilities

Build and maintain production agent runtimes, tool integrations, retrieval and file-context workflows, and LLM gateway routing, with reliable streaming, persistence, attribution, and security. Improve retrieval quality and support the chat, admin, and sandbox experiences while meeting on-premises and AWS/GCP deployment requirements.

Requirements

Requires strong production Python experience, hands-on delivery of LLM features involving tools, RAG, prompts, and evaluation, and familiarity with agent orchestration such as LangGraph. Also requires solid SQL/PostgreSQL skills, a test-driven development habit, clear written design, and 3–5+ years of software engineering experience including 1–2+ years shipping LLM features.

Skills

Python
FastAPI
LangChain
LangGraph
SQL
PostgreSQL
RAG
Tool Calling
Qdrant
LiteLLM
MCP
Test-Driven Development
React
TypeScript
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
LangGraph
LangChain
Agent Runtime
LLM Applications
Tool Calling
RAG
Qdrant
Hybrid Search
Embeddings
LiteLLM
MCP
PostgreSQL
Supabase
SQL
React
TypeScript
Server-Sent Events
Test-Driven Development
Pytest
Vitest
Docker
Kubernetes
AWS
Google Cloud Platform
Role-Based Access Control
Knowledge Graphs
Neo4j
On-Premises Deployment

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