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Added 26 mins ago
BT
Full-Stack Developer (1-Year Contract)
Baker Tilly Canada
Vancouver, BC
- Contract
We are seeking a Full-Stack Developer with a strong passion for user experience, modern interface design, and application development. The successful candidate will be responsible for…
Added 41 mins ago
EI
Software Engineer
Ecolab Inc.
Calgary, AB
- Full-time
Added 3 hours ago
TC
Senior Sharepoint Developer
Tata Consultancy Services
Vancouver, BC
- Full-time
Added 5 hours ago
TS
TDS Operations Analyst III
TD Securities
Toronto, ON
- Full-time
Added 5 hours ago
TS
TDS Operations Analyst II
TD Securities
Toronto, ON
- Full-time
Added 6 hours ago
A
Software Developer
Actalent
Montreal, QC
- $45 to $60 CAD / hour
- Contract
Added 6 hours ago
A
Software Developer
Actalent
Montreal, QC
- $45 to $60 CAD / hour
- Contract
Added 6 hours ago
ZC
Senior Full Stack Developer (Angular & Java)
Ztek Consulting
Montreal, QC
- Full-time
You will be a technically proficient and enthusiastic developer, with a desire to work on back-end application development.
Added 6 hours ago
FI
Senior Product Designer
Fellow Insights Inc.
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
Added 6 hours ago
Q-
Montreal [Hybrid] - C#/.Net Fullstack web developer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
We are looking for a Full Stack Web Developer for Non-Linear Structured Products – Capital Markets activities, to contribute to the development and evolution of these strategic platforms.
Added 7 hours ago
BS
Web Designer
BIS Safety Software
Sherwood Park, AB
- Full-time
Added 7 hours ago
P
Sr. React Native Engineer | US/Canada
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Remote, Canada
- Remote
Added 7 hours ago
Software Engineer, Xcode Cloud
Apple
Vancouver, BC
Added 7 hours ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
Added 7 hours ago
T
Accounting Assistant – Peru (Focus on Mass Payments)
TeemoPay
Milton, ON
- Part-time
Added 7 hours ago
VS
Senior Siebel Developer
vTech Solution Canada
Toronto, ON
- Contract
Added 7 hours ago
Test Automation Developer
Christie Digital Systems Inc.
Kitchener, ON
The Test Automation Developer will help ensure our digital projection and LED display technology products are released, meeting the high-quality standards Christie is known for. The…
Added 8 hours ago
T
TDS Operations Analyst III
TD
Toronto, ON
- Full-time
Added 8 hours ago
T
TDS Operations Analyst II
TD
Toronto, ON
- Full-time
Added 8 hours 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 8 hours ago
L
QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
Added 9 hours ago
O
Front End Developer Student
OLG
Sault Ste. Marie, ON · Toronto, ON · Foster Drive Office
- Full-time
Added 9 hours ago
G
Développeur(euse) logiciel sénior / Senior Software Developer - Clear ID
Genetec
Montreal, QC
- Full-time
Added 9 hours ago
QA & UI .NET Developer - ASL Distribution (Oakville)
Fastfrate Group
Oakville, ON
The QA & UI .NET Developer is responsible for designing, developing, testing, and maintaining web-based and desktop applications that support transportation and logistics operations. This…
Added 9 hours ago
JI
Creative Designer
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Calgary, AB
- Full-time

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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