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Added 1 min ago
IL
Advanced Quality Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
Demonstrated experience with test automation frameworks and scripting languages (Python, JavaScript, Java, etc.).
Added 46 mins ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
Added 1 hour ago
ES
Artificial Intelligence Engineer
Enterprise Solutions Inc.
Toronto, ON
- Contract
Design develop and deploy production grade Machine Learning and Generative AI solutions Build intelligent systems including predictive ML models covering complete model lifecycle management…
Added 2 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
…packaged systems, including extraction, cleansing, reconciliation and cutover. Strong SQL, relational data modeling, performance tuning and expertise in Python or Java are required, as are…
Added 3 hours ago
SI
Java developer with Python and Linux expereince
Smart IT Frame LLC
Toronto, ON
- Contract
Role: Application Developer Software Engineer with Java, Python and Linux exp
Added 4 hours ago
A
Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
We're looking for a hands-on Senior Data Engineer who enjoys building reliable, scalable data solutions. If you're passionate about writing high-performance SQL, developing robust Python…
Added 4 hours ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
Strong SQL and Python; comfortable writing production-grade code, debugging complex pipelines, and optimizing queries
Added 4 hours ago
II
Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.

Enterprise Solutions Inc.

Artificial Intelligence Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Title - AI Developer

Mandatory Skills: GenAI - LLMOps, Python

Type - Fulltime

Location - Onsite - Toronto , ON

Mandatory Certifications

Databricks Certified Generative AI Engineer Associate

Google Professional Machine Learning Engineer

NVIDIA Certified Professional - Agentic AI (NCP-AAI)

AWS Certified AI Practitioner

Summary:

Seeking an AI Engineer skilled in GenAI LLMOps and MLOps to design develop and deploy scalable production grade machine learning and generative AI solutions

Job Description:

Design develop and deploy production grade Machine Learning and Generative AI solutions Build intelligent systems including predictive ML models covering complete model lifecycle management Develop advanced applied Large Language Model LLM applications and Retrieval Augmented Generation RAG pipelines Automate complex workflows and enhance user experiences through AIdriven solutions Collaborate with cross functional teams to transition AI models from prototypes to scalable secure and high performance enterprise APIs Utilize expertise in Python programming and SQL for solution development Implement Generative AI techniques including LLMs LangChain LangGraphs Claude Gemini prompt engineering and LLMOps Apply Machine Learning and Deep Learning frameworks such as PyTorch TensorFlow ScikitLearn and XGBoost Work with vector databases like Pgvector and Chroma for efficient data retrieval Leverage distributed processing tools including Apache Spark and Apache Iceberg Employ MLOps practices for deployment using Docker KubernetesOpenShift and FastAPI Build highperformance scalable APIs with Python FastAPI to expose AI capabilities required for solutions

Roles and Responsibilities:

Design and implement end to end AIML solutions incorporating GenAI and LLMOps best practices
Develop and maintain scalable secure APIs for AI model deployment
Manage full ML model lifecycle including training validation deployment monitoring and retraining
Collaborate with data scientists engineers and product teams to integrate AI solutions into enterprise applications
Optimize AI workflows to ensure high performance and reliability in production environments
Stay updated with the latest advancements in Generative AI LLMOps and MLOps to continuously improve solutions
Troubleshoot and resolve issues related to AI model deployment and production systems
Document AI system architecture deployment processes and best practices

We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.

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More about this job

Responsibilities

Design, develop, deploy, and manage production-grade machine learning and generative AI solutions, including predictive models, LLM applications, RAG pipelines, and scalable APIs. Collaborate with cross-functional teams to integrate and optimize secure, reliable AI systems, manage the full model lifecycle, and document architecture and deployment practices.

Requirements

The role requires expertise in Python, SQL, Generative AI, LLMOps, MLOps, and the development and deployment of production AI solutions. Relevant tools and technologies include LLM frameworks, machine learning and deep learning libraries, vector databases, distributed processing tools, Docker, Kubernetes or OpenShift, and FastAPI; several AI and machine learning certifications are listed as mandatory.

Skills

Generative AI
LLMOps
MLOps
Python
SQL
Large Language Models
Retrieval-Augmented Generation
LangChain
LangGraph
Prompt Engineering
Machine Learning
Deep Learning
PyTorch
TensorFlow
Scikit-Learn
FastAPI

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLMOps
MLOps
Python
SQL
Large Language Models
Retrieval-Augmented Generation
LangChain
LangGraph
Claude
Gemini
Prompt Engineering
Machine Learning
Deep Learning
PyTorch
TensorFlow
Scikit-Learn
XGBoost
Pgvector
Chroma
Apache Spark
Apache Iceberg
Docker
Kubernetes
OpenShift
FastAPI
Google Professional Machine Learning Engineer
NVIDIA Certified Professional - Agentic AI
AWS Certified AI Practitioner

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