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Added 7 days ago
EI
Software Engineer
Ecolab Inc.
Calgary, AB
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 8 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 8 days ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
Seeking a Senior Forward Deployed Engineer with deep Java and Python expertise to work directly with Fintech clients in the Spread Products space. This is a hybrid engineering and…
Added 8 days ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Hands-on experience with provisioning and developing on cloud platforms, particularly GCP (BigQuery, Cloud SQL, Cloud Run) and AWS.
Added 8 days ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Hands-on experience with provisioning and developing on cloud platforms, particularly GCP (BigQuery, Cloud SQL, Cloud Run) and AWS
Added 8 days ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 8 days ago
EI
Delivery Lead
Enercare Inc.
Markham, ON
- Full-time
Are you someone who loves technology, enjoys solving puzzles, and thrives on building things that make a difference? As a Principal Software Engineer, you’ll be a key player in creating…
Added 8 days 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 8 days ago
C(
Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
CareLink (by Asepha) is based in New York and Toronto, building agentic solutions that re-imagine how medications are prescribed, verified, and supported across the pharmacy ecosystem.…
Added 8 days ago
Senior Data Engineer
Capgemini
Calgary, AB
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 8 days ago
W
Senior Full Stack Engineer
Workstream
Vancouver, BC
- Full-time
…industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating…
Added 8 days ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation…
Added 8 days ago
TC
Senior Database Administrator (Oracle Application DBA / AWS Cloud)
Tata Consultancy Services
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
TCS Interactive is Tata Consultancy Services’ award-winning full-service agency unit. We design, engineer and activate digital products and services that drive growth and transformation for…
Added 8 days ago
Senior Software Engineer
EarnIn
Vancouver, BC
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB) and streaming and messaging technologies (e.g., Kafka, AWS SNS/SQS).
Added 8 days ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
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…
Added 8 days ago
SL
Python (API & Platform Engineering)
Staffingine LLC
Toronto, ON
- Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 8 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 8 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 8 days ago
E
Senior Software Engineer
EarnIn
Vancouver, BC
- Full-time
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB) and streaming and messaging technologies (e.g., Kafka, AWS SNS/SQS).
Added 8 days ago
A
Senior Python Backend Engineer
Apexon
Toronto, ON
- $120,000 to $150,000 CAD / year
- Contract
We are looking for a Backend Engineer – Python (API & Platform Engineering) to join our engineering team in Toronto, Ontario. This is a hands-on backend engineering role focused on building…
Added 8 days ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
Senior-level Python development across the full data and ML stack.
Added 8 days ago
IS
Senior QA Engineer (Python & French Language Mandatory)
InfiCare Staffing
Toronto, ON
- Contract
Looking for a Senior QA Engineer with strong Python automation, advanced SQL, AWS data pipeline testing, and backend/API testing experience. The role focuses on simulating high-volume…
Added 8 days ago
ZT
Quality Assurance Engineer
Zensar Technologies
Toronto, ON
- Full-time
You will use complex SQL to deep-dive into our databases, validating that every byte of data flowing through our AWS pipelines is accurate, compliant, and timely.
Added 8 days ago
AI
Senior AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Full-time
We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a…
Added 8 days ago
RC
Senior Data Engineer
RSM Canada
Calgary, AB
- Full-time
…instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent…

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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