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Added 6 mins ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing…
Added 6 mins ago
IS
Monitoring Engineer
IMR Soft LLC
Montreal, QC
- Contract
We are looking for an experienced Observability Engineer with strong hands-on experience in Grafana, Prometheus, OpenTelemetry, and Loki to design, implement, and maintain monitoring and…
Added 36 mins ago
T
Technology Manager
Takeaway
ON
- Full-time
…implementation of solutions built by your engineering team. We engineer for high scale and low latency, ensuring our location insights operate in near real-time while seamlessly integrating…
Added 36 mins ago
Staff Platform Engineer, AI
Motive
Vancouver, BC · Toronto, ON
As a Staff Engineer on the Developer Productivity team, you will spearhead the effort to build systems and automation that are the development, build, and delivery backbone of the Motive…
Added 50 mins ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON · North York, ON
- Full-time
…users worldwide. We offer an advanced, user-friendly trading platform for do-it-yourself traders, empowering them to take control of their financial…
Added 50 mins ago
RU
Senior Associate - Identity and Access Management
RSM US LLP
Toronto, ON
- Full-time
Design, configure, implement, and support SailPoint IdentityIQ and/or Identity Security Cloud (ISC) solutions to meet client identity governance and access management requirements.
Added 1 hour ago
HS
Senior Software Engineer
Henry Schein Canada
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 1 hour ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
…rapidly and seeking a talented, innovative Senior Software Engineer to join our growing team. As one of our early hires, you’ll play a critical role in shaping our engineering efforts,…
Added 1 hour ago
HS
Senior Software Engineer
Henry Schein
Surrey, BC
- Full-time
Our Dentrix Ascend engineering team contributes to the development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States.…
Added 1 hour ago
Senior Technical Specialist
Insurance Corporation of British Columbia
North Vancouver, BC
Leading the technical evaluation, proof of concept, deployment, integration, tuning, and sustainment of Cloud-Native Application Protection Platform (CNAPP), Cloud Security Posture…
Added 1 hour ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.
Added 1 hour ago
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Senior Full Stack Engineer
Workstream
Vancouver, BC
- Full-time
…and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities.…
Added 2 hours ago
CF
IT Change Management and Release Engineer II
CI Financial
Toronto, ON
- Full-time
· Review and authorize all on-prem and cloud software deployments based on proper process, verified authorization and testing (including making assignments to other IT teams as necessary)
Added 2 hours ago
Senior Software Engineer
EarnIn
Vancouver, BC
…experienced, product-minded, and resourceful senior backend engineer to own the design, development, and operation of these services and the member outcomes they…
Added 2 hours ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
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…
Added 2 hours ago
SL
Python (API & Platform Engineering)
Staffingine LLC
Toronto, ON
- Contract
Backend Engineer – Python (API & Platform Engineering)
Added 2 hours ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Backend Engineer – Python (API & Platform Engineering) X10
Added 3 hours ago
I(
Senior Core Platform Engineer
IRC (Instant Risk Coverage)
Toronto, ON
- Full-time
We're looking for a Senior Core Platform Engineer to help lay the technical foundations of IRC's platform and grow with us as we scale it. This role sits at the heart of what we're…
Added 3 hours ago
Technical Program Manager, Platform Services
Motive
Vancouver, BC
Motive builds technology to improve the safety, productivity, and profitability of the physical economy. The Platform Services Organization serves as the backbone of Motive’s engineering…
Added 3 hours ago
D
Lead, Forward Deployed Engineering
Deliverect
Toronto, ON
- Full-time
As the Lead Forward Deployed Engineer for North America, you will bridge technical problem-solving and software engineering by owning enterprise adoption from pre-sales architecture to…
Added 4 hours ago
T
Software Engineer II - Angular UI
TD
Toronto, ON
- Full-time
Added 4 hours ago
JE
Technology Manager
Just Eat Takeaway.com
ON
- Full-time
…implementation of solutions built by your engineering team. We engineer for high scale and low latency, ensuring our location insights operate in near real-time while seamlessly integrating…
Added 4 hours ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
We are looking for a Backend Engineer – Python (API & Platform Engineering) to join our engineering team in Toronto, Ontario. This is a hands-on backend engineering role focused on building…
Added 4 hours ago
AS
Technical Lead - AI Delivery
Ardent SoftSol Inc.
Brampton, ON
- Contract
They will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns. This individual will…
Added 4 hours ago
IG
DevOps Engineer | Azure + GitHub Enterprise
Insight Global
Toronto, ON
- $62.86 to $68.75 CAD / hour
- Contract
Insight Global is looking for an experienced DevOps Engineer to join a leading financial services organization within its Global Asset Management technology team.

Supra ITS

AI Engineer

Mississauga, ON, Canada

Full-time

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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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