Jobs in Canada

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Added 11 days ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
Strong Python in production services (FastAPI or similar)
Added 11 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
…including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services…
Added 11 days ago
S
scientifique principal(e) Guerre électronique et SIGINT / Lead Scientist Electronic Warfare and SIGINT
Syntronic
Montreal, QC
- Full-time
Added 11 days ago
T
Treasury Analyst, Liquidity Measurement - Analytics & Reporting
TD
Toronto, ON
- Full-time
Colleagues may spend more or less days in office as required by the business line
Added 11 days ago
T
Sr. Product Solution Analyst, TD Securities
TD
Toronto, ON
- Full-time
…solution team. This position reports directly to the Manager, Engineering within the Global Equity Derivatives & Synthetic Prime Solutions…
Added 11 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The successful candidate will combine strong data-science expertise with practical engineering skills, enterprise implementation experience, and an understanding of governance requirements.…
Added 11 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The successful candidate will combine strong data-science expertise with practical engineering skills, enterprise implementation experience, and an understanding of governance requirements.…
Added 11 days ago
C
Lead Data Scientist / VP
Citi
Mississauga, ON
- Full-time
The successful candidate will combine strong data-science expertise with practical engineering skills, enterprise implementation experience, and an understanding of governance requirements.…
Added 11 days ago
ES
Senior / Lead Azure Data Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
We are seeking an experienced Senior / Lead Azure Data Engineer with strong expertise in Microsoft Azure, Azure Data Factory, Azure Databricks, PySpark, and Azure Synapse Analytics. The…
Added 11 days ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
A leading life sciences consulting organization is seeking an experienced Lead Data Engineer / Data Product Lead to support the design and delivery of enterprise-scale data products within…
Added 11 days ago
P
Senior Forward Deployed Engineer – AI & Data Engineering
PeoplePilot
Toronto, ON
- Full-time
Forward Deployed Engineer | AI Engineering | Data Engineering | Python | PySpark | SQL | FastAPI | REST APIs | Claude | Prompt Engineering | RAG | Vector Databases | Semantic Search |…
Added 11 days ago
GC
HIL Commissioning Engineer
Global Connect Technologies
Windsor, ON
- Full-time
We are seeking an experienced HIL Commissioning Engineer to support automotive engineering projects for Stellantis through Cognizant. The ideal candidate will have hands-on experience with…
Added 11 days ago
E
Senior Software Engineer
EarnIn
Vancouver, BC
- Full-time
Candidates must be based in the Vancouver area; this role is not open to fully remote work
Added 11 days ago
D
Full Stack Developer (Java/Python + Gen AI)
Digitalogia
Brampton, ON
- Contract
Role Description This is a contract Full Stack Developer (Java/Python + Gen AI) role based in Brampton, ON with a hybrid work arrangement, allowing a mix of on-site and work-from-home days.…
Added 11 days ago
F
Staff Frontend Engineer
Forma.ai
Toronto, ON
- Full-time
…solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we…
Added 11 days ago
S
Mechanical Engineering Intern
SonoHL
Montreal, QC
- Internship
Experience with data analysis using Python, MATLAB, Excel, or similar tools.
Added 11 days ago
CE
Trader d'énergie junior
CWP Energy
Montreal, QC
- Full-time
Analyze real-time data to identify profitable trading strategies
Added 11 days ago
SS
Ingénieur en automatisation réseau / Network Automation Engineer
Sky Systems, Inc. (SkySys)
Montreal, QC
- $100 to $105 CAD / hour
- Contract
The candidate must have the following qualifications:
Added 11 days ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Exposure to Python, data analytics, or AI/ML-enabled workflows.
Added 11 days ago
T
AI Engineer
Talenzaa
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 11 days 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 11 days ago
M
Specialist, Data Governance and Strategy
Moneris
Toronto, ON
- Full-time
Partner with Data Engineering, Architecture, Security, and business teams to embed governance capabilities into data products and pipelines.
Added 11 days ago
CT
Senior Data Scientist, Predictive Modelling
Canadian Tire Corporation
Toronto, ON
- Full-time
Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of…
Added 11 days ago
B
Staff Data Scientist
BMO
Toronto, ON · BMOPLACE
- Full-time
Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
Added 11 days ago
E
Deployment Lead
enurgen
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
3 to 5 years of experience in solar performance engineering, energy yield modelling, or a related data-heavy technical role

Supra ITS

AI Engineer

Mississauga, ON, Canada

Full-time

Apply on LinkedIn 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 on LinkedIn 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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Work requirements

Jobs in Canada