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Added 1 min ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 1 min ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
Added 16 mins ago
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AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Experience with cloud computing and hosted cloud services, such as Azure, AWS or GCP, particularly Azure Databricks.
Added 16 mins ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
Design, build and manage cloud networks (VPCs/VNets, subnets, routing, peering) across GCP, Azure and AWS.
Added 16 mins ago
BR
Senior Systems Testing / QA Specialist – ETL & Data
BITS Recruiting
Toronto, ON
- $70 to $73 CAD / hour
- Contract
Added 16 mins ago
PC
Full Stack Developer (Backend-Focused)
Parabellyx Cybersecurity
Richmond Hill, ON
- Full-time
About the roleParabellyx Cybersecurity is hiring a mid-to-senior Full Stack Developer, weighted toward the backend, to build and run the data and scanning engine behind Luma. You will own…
Added 16 mins ago
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Cyber Security Engineer
Remitra
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Familiarity with AWS, Microsoft Azure or Google Cloud.
Added 16 mins ago
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Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
Cloud-savvy, with knowledge of platforms like Azure & AWS.
Added 16 mins ago
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Senior Data Architect
Synechron
Montreal, QC
- Full-time
Expérience pratique obligatoire avec AWS et Google Cloud.
Added 46 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
…and you will measure your success in platform reliability, developer productivity, and dollars…
Added 46 mins ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
Design, build and manage cloud networks (VPCs/VNets, subnets, routing, peering) across GCP, Azure and AWS
Added 46 mins ago
S
Senior Quality Assurance Engineer
StafinGo
Toronto, ON
- $60 to $75 CAD / hour
- Contract
Familiarity with Azure, AWS, or other major cloud platforms.
Added 46 mins ago
SI
Observability Engineer
Siri InfoSolutions, Inc.
Montreal, QC
- Contract
Experience with any one of the public cloud providers (AWS, Azure, Google).
Added 1 hour ago
IG
Business System Analyst
IMCS Group
ON · Ontario, Canada
- Contract
Knowledge of cloud technologies such as Amazon AWS.
Added 1 hour ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
Added 1 hour ago
CL
Senior Backend Developer- .NET
Charger Logistics Inc.
Brampton, ON
- Full-time
We are seeking a skilled and performance-minded .Net Core Developer to support and evolve our distributed system of over 100 microservices, built primarily with .NET Core and PostgreSQL.…
Added 1 hour ago
CL
Solution Architect- .NET (microservices)
Charger Logistics Inc.
Brampton, ON
- Full-time
Experience designing on at least one cloud platform (AWS, Azure or GCP).
Added 1 hour ago
S
Product Manager - SOTI MobiControl
SOTI
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
Prior experience as a software developer, engineer, solutions architect or similar hands on role is a strong plus.
Added 1 hour ago
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Software Engineer II
TD
Toronto, ON
- Full-time
Experience using AI‑assisted development tools (e.g., GitHub Copilot) to improve developer productivity and code quality.
Added 1 hour ago
MH
Quality Engineer
Marmon Holdings, Inc.
Burlington, ON
- Full-time
Understanding of other international code requirements, CSA , AWS, API, PED,, , NACE, AWWA.
Added 2 hours ago
H
Software Engineer
Highspring
Montreal, QC
- Full-time
Added 2 hours ago
M
RQ00826 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
Understanding of key cloud concepts for one of the major cloud providers (such as Azure or AWS) is an asset.
Added 2 hours ago
M
RQ11527 - Middleware Specialist - Senior
Maarut
Toronto, ON
- Contract
Hands-on experience with AWS, Azure, or other cloud provider
Added 2 hours ago
PC
Atlassian Architect - Canada FTE
Praecipio Consulting
Remote, Canada
- Full-time
- Remote
Other relevant certifications (e.g., AWS Certified Solutions Architect, PMP, SAFe Agilist) are a plus.
Added 2 hours ago
WT
Security Incident Response Developer
Wealthsimple Technologies
Remote, Canada
- $123,200 to $154,000 CAD / year
- Full-time
- Remote
…join our Detection & Response team as an Incident Response Developer. You’ll report to the Manager of Detection & Response and work closely with senior responders to investigate security…

Supra ITS

AI Engineer

Mississauga, ON, Canada

Full-time

Apply About employer

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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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