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Added 19 days ago
Cyber Intelligence Automation and Integration Analyst, Global Security
Royal Bank of Canada
Toronto, ON
Full-time
Working knowledge of software development lifecycle, DevOps workflows and CI/CD pipelines.
Added 19 days ago
Senior Lead Software Engineer, Payment Systems - Vice President
Citi
Mississauga, ON
Full-time
Integrate AI-powered developer tools and AI/ML capabilities - including anomaly detection, intelligent test generation, and observability platforms - into production payment workflows to…
Added 18 days ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Position title: SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
Added 19 days ago
Senior Analyst (Senior Associate), Portfolio Analytics - Global Credit
OMERS
Toronto, ON · Head Office Toronto
Full-time
Comprehensive experience with Github, Azure DevOps CI/CD
Added 19 days ago
Senior Solutions Engineer, Mid-Enterprise
Docker
Remote, Canada
Full-time · Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 18 days ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Define and implement CI/CD, deployment automation, source control, and environment management practices using Azure DevOps and Microsoft Fabric deployment capabilities.
Added 18 days ago
Analytics & AI Solutions Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Added 19 days ago
Cyber Intelligence Automation and Integration Analyst, Global Security
RBC
Toronto, ON
Full-time
Working knowledge of software development lifecycle, DevOps workflows and CI/CD pipelines.
Added 20 days ago
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 23 days ago
AI Research Engineer
Deloitte
Toronto, ON
Full-time
Contribute to the design of scalable MLOps/DevOps pipelines for model deployment, monitoring, and continuous training.
Added 23 days ago
Senior Cyber Security Engineer
CAAT Pension Plan
Toronto, ON
Full-time
…hardcoded credentials; and enforce zero‑trust principles across DevOps…
Added 24 days ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
$120,000 to $175,000 CAD / year
Full-time
Understanding of CI/CD pipelines (Azure DevOps).
Added 24 days ago
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
Design and improve CI/CD pipelines and DevOps automation.
Added 1 month ago
Intermediate Full Stack Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
Added 24 days ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
…Azure, AWS), secure device/user onboarding solutions, etc. DevOps/REST or other common API programming knowledge a…
Added 26 days ago
AI - Full Stack Engineer
Emterra Group
Remote, Canada
$110,000 to $120,000 CAD / year
Full-time · Remote
Solid understanding of DevOps practices and Azure DevOps or GitHub Actions
Added 21 days ago
Senior Technical Account Manager
Docker
Remote, Canada
Full-time · Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 26 days ago
Senior Solutions Consultant
PagerDuty
Toronto, ON
Full-time
…to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom,…
Added 8 days ago
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
Full-time
CI/CD pipelines and DevOps processes using Salesforce CLI, Git, and deployment automation tools (e.g., Copado, Gearset)
Added 11 days ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
…platforms and applications. The ideal candidate is a strong developer who can apply AI, automation and engineering best practices to accelerate delivery, improve platform reliability,…
Added 14 days ago
Lead, Data Engineer
Canfor
Vancouver, BC
Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Purview, Azure DevOps, etc.
Added 26 days ago
Senior Python Engineer – Kafka & Unix
Wissen Technology
Montreal, QC
Full-time
We are looking for an experienced Python Developer with strong hands-on expertise in Python, Apache Kafka, and Unix/Linux environments. The ideal candidate will develop and maintain…
Added 18 days ago
Director Large Program Management
Royal Bank of Canada
Toronto, ON
Full-time
…technologies, including knowledge of RBC Assist ecosystem, RPA, DevOps, and Helios, paired with cloud/AI platform proficiency…
Added 26 days ago
Senior Enterprise Account Executive
STA
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is a fast-growing cloud, DevOps, and generative-AI consultancy based in Toronto, recognized as a top-tier partner within a major cloud provider’s ecosystem for its deep expertise…
Added 27 days ago
Python developer
I8IS - Infiniti Software Solutions
Mississauga, ON
Full-time
Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

I8IS - Infiniti Software Solutions

Python developer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Sep 24, 2026
Experience: 8-10 years of relevant experience in Apps Development or systems analysis role
Posting language: English
Posted: Aug 25, 2026

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Original job description

Role- Python Developer

Location- Mississauga Ontario

Fulltime

Job description:

8-10 years of relevant experience in Apps Development or systems analysis role
Core AI/ML Foundations:

Strong foundational knowledge in GenAI , Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).

Generative AI & LLM Expertise:

Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
Hands-on experience with agentic framework-based use case implementation.
Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.

Programming & Data Engineering:

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.

Deployment & MLOps:

Critical: Hands-on experience deploying GenAI-based models to production environments.
Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Cloud & Containerization:

Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.

Soft Skills:

Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems

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More about this job

Responsibilities

Develop and deploy LLM-based applications using advanced RAG pipelines and agentic frameworks. Integrate generative AI with enterprise applications and manage the full MLOps lifecycle from tuning to production deployment.

Requirements

Requires 8-10 years of experience in apps development with deep expertise in GenAI, Python, and various LLM frameworks. Must be proficient in container orchestration and CI/CD pipelines for cloud-native environments.

Skills

Python
Generative AI
Large Language Models
RAG Pipelines
Machine Learning
Natural Language Processing
Vertex AI
Hugging Face
Prompt Engineering
LangChain
LlamaIndex
Vector Databases
MLOps
CI/CD
Kubernetes
OpenShift

Visa sponsorship

Not detected in the job text

Keywords

Python
GenAI
Machine Learning
Data Science
Statistics
NLP
Neural Networks
LLMs
Google Gemini
OpenAI
Anthropic Claude
Mistral
Llama
RAG
Vertex AI
Hugging Face
Prompt Engineering
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
Transformers
FastAPI
Seaborn
LangChain
LlamaIndex
PG Vector
Pinecone
Mongo Atlas

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