Jobs in Canada

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Added 5 hours ago
P
Administrative Assistant
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Added 1 day ago
P
Engineering Manager, Conversational AI
Pebl
Remote, Canada
- $154,000 to $195,000 CAD / year
- Full-time
- Remote
We're not just building a chatbot, we're rethinking what it means for software to work with you, not just for you. Our Conversational AI team is building Alfie, our conversational AI…
Added 1 day ago
PC
Payroll Associate (Contract)
Pwc Canada
Toronto, ON
- Full-time
…job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating…
Added 1 day ago
PC
Resourcing and Deployment Manager, Deals
PwC Canada
Toronto, ON
- Full-time
Added 1 day ago
PC
Information Technology Audit Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
Added 1 day ago
P
Engineering Manager, Conversational AI
Pebl
Toronto, ON
- $154,000 to $195,000 CAD / year
- Full-time
We're not just building a chatbot, we're rethinking what it means for software to work with you, not just for you. Our Conversational AI team is building Alfie, our conversational AI…
Added 1 day ago
PC
U.S. Tax, Manager
Pwc Canada
Vancouver, BC · Montreal, QC
- Full-time
Added 1 day ago
PC
Financial Instruments Valuation and Market Risk Manager
Pwc Canada
Toronto, ON · Montreal, QC
- Full-time
…job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we…
Added 1 day ago
PC
Managed Services, Service Delivery Manager (Bilingual FR/EN)
Pwc Canada
Montreal, QC · Quebec, QC
- Full-time
Added 1 day ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
Added 1 day ago
PC
Capital Market Transactions - Manager
PwC Canada
Calgary, AB
- Full-time
Added 1 day ago
PC
Information Technology Audit Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
Added 1 day ago
PC
Capital Market Transactions - Manager
PwC Canada
Vancouver, BC
- Full-time
Added 1 day ago
E
Employee Services Rep
Enbridge
Edmonton, AB · Toronto, ON
- Full-time
Guide employees and leaders in the effective use of Workday, Mya – our HR chatbot, and other digital HR tools, promoting self-service and providing support with personal information…
Added 1 day ago
P
Information Technology Audit Manager (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
Added 1 day ago
P
Cyber Generalist, Manager
PwC
Toronto, ON
- Full-time
Added 1 day ago
PC
Workforce Transformation Manager (HR Transformation)
PwC Canada
Ottawa, ON
- Full-time
Added 1 day ago
Digital Student Service Administrator
George Brown Polytechnic
Toronto, ON
administration of muti-modal student service applications, including chatbot,
Added 1 day ago
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Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the Global Markets environment. Conversation Bot Engineers design, code, test, debug…
Added 1 day ago
PC
Senior Associate, Financial Services, Digital Banking Operations, Consulting
Pwc Canada
Toronto, ON
- Full-time
Added 1 day ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
Hands-on LLM application work: function/tool calling, RAG, prompt + eval loops - not only wrapping a chatbot widget
Added 2 days ago
PC
Capital Markets and Accounting Advisory Services, Senior Manager (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Added 2 days ago
P
Workforce Transformation Manager (HR Transformation)
PwC
Ottawa, ON
- Full-time
Added 2 days ago
U
Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
We are not building another generic chatbot. You will work on difficult problems involving long and complex documents, structured extraction, agentic workflows, evidence, permissions,…
Added 2 days ago
PC
Corporate Tax, Senior Manager
PwC Canada
Calgary, AB
- Full-time

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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