Lead research initiatives in computer vision, multimodal understanding, and visual generation; develop and deploy large-scale vision and multimodal foundation models; collaborate with applied scientists, ML engineers, and product teams; mentor scientists and engineers. Requires ~8+ years experience and strong expertise with transformers, diffusion models, contrastive learning, Python, PyTorch, and TensorFlow.

CrowdStrike is hiring an AI/Agent Engineer to build, optimize, and deploy LLM-based agents and scalable solutions. Responsibilities include prompt engineering, fine-tuning (LoRA/QLoRA), working with deployment frameworks (vLLM, SGLang, FastAPI), and collaborating across teams to integrate agent solutions into enterprise workflows. Role is Canada-based remote and requires legal entitlement to work in Canada.

Kraken seeks a senior engineer to architect and build an AI-native finance platform, deploying production agentic workflows (reconciliations, close, treasury monitoring, reporting) and integrating systems such as NetSuite, BlackLine, Kyriba, Fireblocks, and Lukka. The role includes designing for SOX-compliant controls, AI governance, auditability, and training finance teams to adopt AI-assisted workflows.

Nearform is hiring a Senior Software Engineer (Python & AI) based in Canada for a permanent, full-time role. Responsibilities include designing and building Python applications, data storage solutions, performance optimisation, testing, CI/CD and collaborating with client teams. Candidates typically have at least 8 years commercial experience, deep Python and AI framework knowledge (including agentic frameworks), Git/version control experience, and professional English. The role requires travel to U.S. client sites; visa sponsorship is not available. Salary range advertised: 150,000 - 175,000 CAD plus bonus and benefits.

Kraken seeks a Senior Software Engineer to architect and build production AI/LLM-powered HR solutions and agentic workflows that integrate HRIS, ATS, payroll and ticketing systems. The role requires designing, deploying, and governing automated workflows (n8n, Python, Claude/Anthropic, MCP), ensuring PII and cross-jurisdictional compliance, and transferring maintainable tooling and runbooks to the People team. Candidates must have 5+ years software engineering experience and relevant experience delivering AI-enabled production systems and people/HR technology integrations.

Lead design, development, deployment, and governance of AI-enabled compliance solutions (alert pre-screening, narrative generation, regulatory summarization, EDD reports) using tools like n8n, Claude API, Python and APIs. Own risk classification, audit trails, data-privacy controls (GDPR, PII, AML retention), and handover to Compliance teams while driving adoption, documentation, and operational metrics. Requires 8+ years in compliance operations/RegTech with hands-on experience delivering production AI/workflow automation in regulated environments.

Join NVIDIA to develop AI inference systems, including kernel implementations, code generators, and runtimes to accelerate LLMs and other AI workloads. Requires a Master's (or equivalent) preferred PhD, 6+ years of ML/DL systems development experience, and strong experience with Python, C/C++, CUDA, deep learning frameworks, and GPU kernel performance optimization. Base salary range: 184,000 USD - 287,500 USD.

Work on AI Infrastructure to design and operate high-performance, reliable production systems that power AI agents. Responsibilities include building Rust services for model inference and orchestration, designing scalable systems for millions of users, implementing MLOps and model deployment patterns, and defining observability and failure handling. Requires 5+ years building high-scale production systems and strong Rust and distributed systems expertise.

Procurify is hiring an Engineering Manager, AI Engineering to lead a team of AI engineers in designing, building, and operating LLM-powered applications, RAG systems, agentic workflows, and AI platform capabilities. The role is a player‑coach position requiring hands-on technical leadership, experience shipping production AI/ML services, and expertise with tools like Python, Azure/OpenAI or AWS Bedrock, Databricks, Kubernetes, and vector databases. The position is remote-first and open to work-from-Canada candidates; listed base salary range is 184,000–205,000 CAD per year.