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Added 27 mins ago
OT
Sr. IT Software Developer
Open Text Corporation
Waterloo, ON
- Other
As a Sr. IT Software Developer (Digital Fullstack), you will independently deliver full-stack and platform capabilities for OpenText's digital experience ecosystem. You will work across…
Added 1 hour ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
Solid grasp of APIs, system design, databases, cloud-native applications, and production deployments
Added 1 hour ago
II
Director, AI Applications Development
iVedha Inc.
Toronto, ON
- Full-time
…scalable, reliable, and well monitored, with a strong focus on cloud-native delivery, observability, and compliance. You'll also foster a culture of innovation, collaboration, continuous…
Added 2 hours ago
BD
Senior DevOps Engineer - Cloud Operations
Black Duck
Calgary, AB
- Full-time
Monitor site stability and performance using GCP-native observability tooling (Cloud Monitoring, Cloud Logging, Error Reporting) and troubleshoot issues across the stack
Added 3 hours ago
L&
Senior Systems Analyst (SAP BAIP)
Lindt & Sprüngli (North America) Inc.
Toronto, ON
- Full-time
…ensuring scalable architecture, seamless integrations, and modern cloud-native…
Added 3 hours ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
Work within existing CI and CD pipelines, container orchestration, and cloud deployment infrastructure, and contribute improvements as needed
Added 3 hours ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…re-envisioning human workflows on Amazon Web Services, Azure, and Google Cloud. This includes architecting multi-agent systems, LLM-powered autonomous workflows, retrieval-augmented…
Added 3 hours ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
…and platform teams to design and deliver scalable, resilient cloud-native…
Added 3 hours ago
MC
Network Management System Developer (35520)
Myticas Consulting
Ottawa, ON
- Full-time
Cloud-native architectures and containerized environments
Added 3 hours ago
C
Full Stack Developer
CGI
Vancouver, BC
- Full-time
This role is well suited to a developer who has a strong technical foundation, is enthusiastic about learning new technologies, and can work effectively within an Agile multidisciplinary…
Added 3 hours ago
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Senior Software Engineer (Hybrid / Montreal)
Motion (Creative Analytics)
Montreal, QC
- Full-time
Motion is building the command center for creative strategists: an AI-native platform that bridges the gap between performance marketers and creative teams, so they can uncover what’s…
Added 3 hours ago
MC
SysOps Software Architect (36136)
Myticas Consulting
Ottawa, ON
- Full-time
Hands-on architectural experience with cloud-native applications, containers, Kubernetes, CI/CD, infrastructure automation, and observability.
Added 4 hours ago
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Consultant, Cloud Engineer - Azure
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a Consultant, Cloud Engineer to join our growing Cloud and Platform Engineering team. You will work alongside experienced engineers, architects and client teams…
Added 4 hours ago
SL
AVP, Threat and Vulnerability Management
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Provide secure development guidance and support targeted developer training in partnership with the AVP of Security Initiatives, Training & Awareness.
Added 5 hours ago
EP
Digital Marketing Lead
Earthscape Play
Remote, Canada
- $90,000 to $100,000 CAD / year
- Full-time
- Remote
…engagement. Track results using Google Analytics (GA4) and native platform insights, then use what you learn to refine tactics, double down on high-performing content, and identify growth…
Added 5 hours ago
AW
Senior DevSecOps Engineer
Aviso Wealth
Remote, Canada
- $120,000 to $135,000 CAD / year
- Full-time
- Remote
Deep proficiency with modern DevSecOps tooling, including Git, Docker, Bicep, PowerShell/Bash, and cloud-native monitoring/observability platforms such as Azure Monitor, Application…
Added 5 hours ago
M
Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
Motion is building the command center for creative strategists: an AI-native platform that bridges the gap between performance marketers and creative teams, so they can uncover what’s…
Added 5 hours ago
T
Chief Growth Officer
TechBlocks
Vaughan, ON
- Full-time
Almost everything we do is custom product and platform development on Azure, AWS and Google Cloud - not package configuration, not managed services, not ticket queues.
Added 5 hours ago
H
Senior Architect
Hays
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Design enterprise-grade AI and Generative AI solutions leveraging Azure AI services and cloud-native technologies.
Added 5 hours ago
M
System Engineer
MCAP
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Full-time
Minimum knowledge of cloud native development practices and design patterns using private or public cloud providers required
Added 5 hours ago
M
Systems Engineer
MCAP
Waterloo, ON
- Full-time
…infrastructure environment and is passionate about automation, cloud-native technologies, container platforms, virtualization, and Infrastructure as Code. This position offers the…
Added 5 hours ago
AS
Lead FinOps Analyst: Cloud, Network & Infrastructure
Apex Systems
Mississauga, ON
- $100 to $101 USD / hour
- Contract
Experience with FinOps or TBM platforms such as Apptio, Cloudability, CloudHealth, Flexera, Vantage, or native cloud cost-management tools.
Added 5 hours ago
A
DevSecOps Engineer
Aviso
Vancouver, BC
- $120,000 to $130,000 CAD / year
- Full-time
Deep proficiency with modern DevSecOps tooling, including Git, Docker, Bicep, PowerShell/Bash, and cloud-native monitoring/observability platforms such as Azure Monitor, Application…
Added 5 hours ago
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Part-time
Design and assess cloud security controls, including secure landing zones, cloud security posture management, workload protection, logging and monitoring, identity configuration,…
Added 5 hours ago
EP
Digital Marketing Lead
Earthscape Play
Elmira, ON
- Full-time
…engagement. Track results using Google Analytics (GA4) and native platform insights, then use what you learn to refine tactics, double down on high-performing content, and identify growth…

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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