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Added 1 min ago
EM
Lean Maintenance Engineer
EFESO Management Consultants - Americas
Montreal, QC
- Contract
…integrate industrial AI, digital solutions, sustainability, people development, transactions and turnaround, R&D and product profitability, cost and value engineering, manufacturing,…
Added 1 min ago
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Coordinateur de Terrain/Field Coordinator
FlatironDragados
Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Are you ready to lead with precision and tackle complex challenges? As an experienced Field Engineer, you will leverage your technical knowledge to oversee critical aspects of our projects,…
Added 1 min ago
MI
Process Engineer
McAsphalt Industries Limited
Calgary, AB
- Full-time
…technology solutions, encompassing paving, testing, research and development, engineering, and…
Added 1 min ago
D
Senior Mechanical Engineer
DIALOG
Calgary, AB
- Full-time
We’re looking for a skilled mechanical engineer who is passionate about designing high performance building systems and leading projects from concept through to construction. At DIALOG,…
Added 2 mins ago
UO
Canada Impact+ Emerging Leader. Assistant or Associate Professor in Sustainable Transportation Futures
University of Alberta
Edmonton, AB
- Full-time
…and disabled populations. Research may integrate technology development and testing with systems modelling, lifecycle and environmental assessment, infrastructure planning, safety,…
Added 16 mins ago
NT
Product Engineer
NETINT Technologies Inc.
Burnaby, BC
- Full-time
This is a Full-time, Regular employment opportunity. NETINT offers competitive salaries, benefits and endless learning and development opportunities.
Added 16 mins ago
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Intermediate Mechanical Engineer, Mission Critical Buildings
WSP
Vancouver, BC
- Full-time
Contribute from planning and concept development through construction and project closeout.
Added 16 mins ago
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Intermediate Software Engineer
PointClickCare
Mississauga, ON
- Full-time
…significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top…
Added 16 mins ago
R
Test Engineer - Laser Device Characterization & Automation
Ranovus
Ottawa, ON
- Full-time
…creating automated visual inspection processes to support product development and manufacturing. The engineer will work closely with device engineering, packaging, qualification and…
Added 16 mins ago
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Business analyst TI junior
AtkinsRéalis
Montreal, QC
- Full-time
You will work closely with both business and development teams to ensure alignment between operational needs and the solutions implemented. You will also contribute to project follow-up,…
Added 16 mins ago
ST
Senior Manufacturing Engineer I
STEMCELL Technologies
Burnaby, BC · Canada - BC, Burnaby, Baxter Facility, Onsite
- Full-time
Are you a skilled engineer looking to take the next step in your career? STEMCELL Technologies, Canada’s largest biotechnology company, is searching for a highly organized and innovative…
Added 16 mins ago
Senior ASIC Design Engineer - DSP/Analog/SerDes
Celero Communications, Inc.
Ottawa, ON
…Celero is seeking a highly skilled and motivated ASIC Design Engineer to join our team and contribute to the development of advanced ASICs for high-speed optical communication systems. The…
Added 16 mins ago
Senior Estimator/Cost Engineer, Sustaining Capital (Contract)
Trans Mountain
Calgary, AB
…individual to join our dynamic team as a Senior Estimator/Cost Engineer, Sustaining Capital. In this position, you will play a key role in supporting the development of multiple classes of…
Added 30 mins ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 30 mins ago
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Senior DevOps and Cloud Engineer
StafinGo
Toronto, ON
- $80 to $105 CAD / hour
- Contract
Added 30 mins ago
PT
Senior Data Engineer – Capital Markets
Precision Technologies
Mississauga, ON
- Contract
Hiring: Senior Data Engineer – Capital Markets
Added 30 mins ago
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Ingénieur(e) Application / Application Engineer
Veolia | Water Tech
Montreal, QC
- Full-time
As an Application Engineer, you will be the primary technical point of contact for our clients. You will collaborate closely with sales and process engineering teams to design innovative…
Added 32 mins ago
SM
Business Systems Analyst
Smartrend Manufacturing Group
Winnipeg, MB
- $70,000 to $90,000 CAD / year
- Full-time
…business running. Through collaboration, automation, and software development, you'll connect systems, support reliable data processing and delivery, and make everyday work more…
Added 32 mins ago
Mine Planning Engineer
Evolution Mining Limited
Red Lake, ON
…orebodies, your deliverables will include short term mine schedules, development and stope designs with associated prints. To ensure compliance to design you will be responsbile for daily…
Added 47 mins ago
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ADAS Performance Specialist
Zobility
Windsor, ON
- Contract
To support Performance Engineer in virtual and experimental performance development plan definition managed through the Integrated Test Plan
Added 47 mins ago
HM
Reliability Engineer
Hemlo Mining Corp.
Marathon, ON
- $95,000 to $110,000 USD / year
- Full-time
The Reliability Engineer's primary function is to minimize business impact due to critical equipment downtime and by maximizing uptime and minimizing asset life cycle cost. Primary…
Added 47 mins ago
Y
Sr. Acoustics & Vibration Engineer
Yochana
Montreal, QC
- Full-time
Position Name – Sr. Acoustics & Vibration Engineer
Added 47 mins ago
Z
Exterior Lighting Design Release Engineer
Zobility
Windsor, ON
- Contract
Highly motivated Exterior Lighting Design Release Engineer (DRE) to lead the development, validation, and release of exterior lighting systems including headlamps, tail lamps, fog lamps,…
Added 47 mins ago
T
Professional Engineer - Aerospace
Talentmatics
Montreal, QC
- Full-time
Flight Control Laws Design & Development Engineer
Added 47 mins ago
RT
Senior Software Engineer
Russell Tobin
Toronto, ON
- $75 to $95 CAD / hour
- Contract
Develop and test docker based development workflows and work with security tools

Cloudoplus

Senior AI Engineer

ON, Canada
Ontario, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Apr 18, 2027
Posting language: English
Posted: Oct 20, 2026

Original job description

We are seeking a highly experienced and technically accomplished Senior AI Engineer with 10+ years of enterprise software engineering, machine learning, artificial intelligence, and distributed systems experience to architect, design, develop, and deploy highly scalable, production-grade AI platforms.

The ideal candidate will possess deep expertise in Large Language Models (LLMs), Generative AI, Agentic AI, deep learning, transformer architectures, Retrieval-Augmented Generation (RAG), multi-agent orchestration, AI reasoning systems, and cloud-native AI infrastructure.

This position requires extensive hands-on experience developing sophisticated AI applications, optimizing foundation models, implementing autonomous agent workflows, and integrating intelligent systems with complex enterprise platforms.

Key Responsibilities

1. Advanced AI Architecture and Foundation Model Engineering

Architect and implement enterprise-grade artificial intelligence platforms utilizing advanced machine learning algorithms, deep neural networks, transformer architectures, and distributed model-serving infrastructure.

Implement and optimize attention mechanisms, including Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped-Query Attention (GQA), FlashAttention, and Rotary Positional Embeddings (RoPE).

Develop custom neural network architectures utilizing PyTorch, TensorFlow, JAX, Hugging Face Transformers, and distributed training frameworks.

Implement advanced model adaptation techniques including supervised fine-tuning (SFT), LoRA, QLoRA, parameter-efficient fine-tuning (PEFT), knowledge distillation, and domain-adaptive training.

Optimize model inference performance using quantization, speculative decoding, KV-cache optimization, continuous batching, tensor parallelism, and pipeline parallelism.

Evaluate and integrate commercial and open-weight foundation models, including GPT, Claude, Gemini, Llama, Qwen, Mistral, and Gemma, based on application requirements, latency, throughput, accuracy, and cost.

2. Generative AI and Advanced LLM Application Development

Design and develop sophisticated Generative AI applications utilizing large language models, multimodal foundation models, and advanced prompt engineering techniques.

Implement structured generation, constrained decoding, function calling, tool execution, and schema-based output validation for reliable enterprise AI applications.

Develop advanced reasoning workflows utilizing planning, decomposition, reflection, self-correction, and iterative verification mechanisms.

Engineer context-management strategies involving semantic compression, dynamic context assembly, prompt caching, and long-context optimization.

Implement enterprise-grade LLM evaluation frameworks to measure factual accuracy, reasoning performance, groundedness, hallucination rates, toxicity, latency, and token utilization.

3. Agentic AI and Autonomous Multi-Agent Systems

Architect and implement advanced Agentic AI platforms capable of autonomous task planning, dynamic decision-making, tool execution, and complex workflow orchestration.

Develop multi-agent systems utilizing LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, and custom Python-based orchestration frameworks.

Design and develop agent memory architectures incorporating short-term conversational memory, persistent long-term memory, semantic memory, episodic memory, and structured state management.

Integrate Model Context Protocol (MCP) clients and servers to securely expose enterprise tools, APIs, databases, and business services to AI agents.

Develop secure agentic transaction workflows utilizing Temporal, Saga orchestration, idempotency, transactional outbox patterns, and compensating transactions..

4. Retrieval-Augmented Generation (RAG) and Enterprise Knowledge Systems

Architect advanced Retrieval-Augmented Generation platforms integrating structured, semi-structured, and unstructured enterprise knowledge sources.

Implement hybrid retrieval architectures combining dense vector embeddings, sparse retrieval, BM25, semantic search, and metadata-based filtering.

Develop multi-stage retrieval pipelines incorporating query rewriting, query decomposition, reranking, contextual retrieval, and relevance optimization.

Design Graph RAG architectures integrating knowledge graphs, graph databases, entity resolution, relationship extraction, and graph traversal.

Implement vector search solutions using Pinecone, Milvus, Weaviate, FAISS, Elasticsearch, OpenSearch, and PostgreSQL with pgvector.

Develop enterprise document intelligence pipelines incorporating document parsing, OCR, semantic chunking, hierarchical indexing, and contextual metadata enrichment.

Implement knowledge ingestion and synchronization pipelines supporting incremental updates, change data capture, data lineage, access controls, and document versioning.

Evaluate retrieval quality using Recall@K, Precision@K, Mean Reciprocal Rank (MRR), NDCG, answer relevance, faithfulness, and citation correctness.

5. Machine Learning, Deep Learning, and Predictive AI

Design and implement advanced supervised, unsupervised, self-supervised, and reinforcement learning solutions for complex enterprise use cases.

Develop predictive modeling pipelines utilizing XGBoost, LightGBM, Random Forest, Support Vector Machines, gradient boosting, and deep neural networks.

Implement distributed model training and experimentation using PyTorch Distributed, DeepSpeed, Ray Train, and distributed data-processing frameworks.

Apply explainable AI methodologies including SHAP, LIME, feature attribution, model interpretability, and model fairness analysis.

Establish rigorous model-validation practices including cross-validation, drift analysis, calibration, robustness testing, and out-of-distribution evaluation.

6. Cloud AI Platforms and Infrastructure Engineering

Design cloud-native AI solutions utilizing Amazon Bedrock, Amazon SageMaker, Azure AI Foundry, Azure Machine Learning, Google Vertex AI, and managed foundation model services.

Implement GPU-accelerated computing environments utilizing NVIDIA CUDA, cuDNN, NCCL, and distributed GPU clusters..ip

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a closely related technical discipline.

10+ years of professional experience in software engineering, distributed systems, data engineering, machine learning, or artificial intelligence, including substantial recent hands-on experience delivering production AI solutions.

Advanced proficiency in Python, object-oriented programming, asynchronous programming, data structures, algorithms, and distributed application development.

Strong experience with PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and modern machine learning frameworks.

Demonstrated expertise in developing Generative AI applications, LLM-powered solutions, RAG architectures, and autonomous agent workflows.

Extensive experience with cloud computing, container orchestration, microservices architecture, distributed messaging, and production AI infrastructure.

Strong understanding of transformer architectures, neural network optimization, vector databases, embedding models, and advanced information retrieval.

Proven ability to design and implement secure, scalable, fault-tolerant enterprise AI systems.

Excellent analytical, architectural, troubleshooting, technical leadership, and communication skills.

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More about this job

Responsibilities

Architect, develop, and deploy scalable enterprise AI platforms and applications, including foundation models, generative AI, autonomous agents, and retrieval-augmented generation systems. Optimize model training and inference, build secure knowledge and data pipelines, and deliver production AI infrastructure across cloud and distributed computing environments.

Requirements

Requires a bachelor's or master's degree in a relevant technical discipline and 10+ years of experience in software engineering, distributed systems, data engineering, machine learning, or artificial intelligence, including recent hands-on production AI work. Candidates should have advanced Python and machine learning framework skills, expertise in LLMs, RAG, and agent workflows, and experience building secure, scalable enterprise systems on cloud infrastructure.

Skills

Python
PyTorch
TensorFlow
Hugging Face Transformers
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Distributed Systems
Machine Learning
Deep Learning
Cloud Computing
Vector Databases
Multi-Agent Orchestration
Model Optimization
Enterprise AI Architecture

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
TensorFlow
JAX
Hugging Face Transformers
Large Language Models
Generative AI
Agentic AI
Retrieval-Augmented Generation
Transformer Architectures
LoRA
QLoRA
Parameter-Efficient Fine-Tuning
LangGraph
LangChain
CrewAI
AutoGen
Semantic Kernel
Model Context Protocol
Pinecone
Milvus
Weaviate
FAISS
PostgreSQL
pgvector
Amazon Bedrock
Amazon SageMaker
Azure AI Foundry
Google Vertex AI
NVIDIA CUDA

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