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Added 1 min ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
Implement real-time and historical analytics using Amazon Connect Contact Lens, Kinesis, and AWS reporting tools.
Added 1 min ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 16 mins ago
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Cloud Engineer
VySystems
Toronto, ON
- Contract
Expertise in Azure Monitor, Log Analytics, Application Insights, KQL, and Terraform.
Added 31 mins ago
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QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
We are hiring a Senior QA Test Engineer (SDET) for our Industrial and Data team. Today the developers on this team test their own work, so the connectors that talk to PLCs and industrial…
Added 31 mins ago
Data Engineer - Canada - On Site
Vensure Employer Solutions
Westmount, QC
…join our team. We need an organized and communicative Data Engineer with experience organizing and transforming data with experienceworking in the HCM/PEO industry to help us navigate each…
Added 46 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 46 mins ago
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Senior Quality Assurance Engineer
StafinGo
Toronto, ON
- $60 to $75 CAD / hour
- Contract
Industry: Public Sector | Digital Health & Data Analytics
Added 46 mins ago
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Data Scientist
Cyient
Longueuil, QC
- Full-time
We are looking for a Data & Analytics Engineer to join a dynamic team and help drive high-impact digital transformation initiatives.
Added 1 hour ago
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Python Developer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Python Engineer/Application Developer
Added 1 hour ago
RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
Added 1 hour ago
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Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
Added 1 hour ago
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Application Development Engineer (Java) - AVP
Citi
Mississauga, ON
- Full-time
Added 1 hour ago
Industrial I&C Engineer
City of Edmonton
AB
…and forward-thinking Industrial Controls and Instrumentation Engineer. In this pivotal role, you will be the backbone of our technical operations, driving the delivery of top-tier Control…
Added 1 hour ago
Senior Growth Marketing Manager, Paid Social
Brex
Vancouver, BC
…customer acquisition. You won't just optimize campaigns; you will engineer signal architecture, build scalable audience models, and establish a high-velocity creative testing engine.…
Added 1 hour ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Added 1 hour ago
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Windows L3 Admin
Zodiac Solutions, Inc
Montreal, QC
- Full-time
"We are seeking a highly skilled Windows Patching & Software Deployment Engineer with expertise in Windows Server administration, patch management, software deployment, automation, and…
Added 1 hour ago
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Machine Learning Engineer II
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 2 hours 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 2 hours ago
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Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
Junior software Engineer to deliver end to end development
Added 2 hours ago
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Software Engineer
Highspring
Montreal, QC
- Full-time
We are seeking a Python Software Engineer to join one of our delivery teams working on AI-enabled solutions within a large enterprise environment. In this role, you will play a key part in…
Added 2 hours ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 2 hours ago
ES
Building Automation Systems (BAS) Engineer
Engineering Search Firm Inc.
Mississauga, ON
- $90,000 to $105,000 CAD / year
- Full-time
The Building Automation Systems (BAS) Engineer is responsible for the design, development, programming, testing, commissioning, and continuous improvement of Building Automation Systems for…
Added 2 hours ago
Software Engineer, Identity
Lyft
Toronto, ON
…make the lives of our community more enriched and safe. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us…
Added 2 hours ago
PC
Atlassian Architect - Canada FTE
Praecipio Consulting
Remote, Canada
- Full-time
- Remote
A minimum of 5 years of hands-on experience as an Atlassian Engineer or Architect in a large-scale, enterprise environment.
Added 2 hours ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Mississauga, ON
- Full-time
Build AI-powered data analytics and self-service platforms.

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

Apply About employer

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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