Own end-to-end design, implementation, deployment, and operation of multi-agent AI systems, LLM integrations, and backend services that connect models to internal and third-party data (BigQuery, CRMs, Slack). Define platform APIs, data models, governance, and observability; build scalable serverless/containerized services on GCP; and partner with RevOps, GTM systems, and Data Engineering to deliver self-service automation for Sales, Customer Success, and Marketing. Role is remote for Canada time zones.

Owner of the AI-native finance platform: assess finance operations, design the long-term agentic architecture, and deploy production agentic workflows (reconciliations, close, treasury monitoring, reporting, controls). Role requires hands-on experience deploying agentic/LLM-orchestrated systems in production, Python-based orchestration, integration with finance systems (e.g., NetSuite, BlackLine), and designing automation that preserves SOX-level controls and auditability.

Nearform seeks a Senior AI Python Software Engineer for a permanent, remote role for candidates based in Canada (no visa sponsorship). Responsibilities include designing and building Python applications, data storage solutions, performance optimisation, and collaborating with clients. Requires deep Python and AI framework experience, familiarity with agentic frameworks (e.g., LangGraph, Agentspace), Git, testing (unit/integration/e2e), CI/CD, cloud and database experience. Frequent travel to US client sites is required.

Primary architect and builder of AI/LLM-powered HR solutions: design and deploy agentic workflows (n8n, Claude API, Python, MCP), build multi-agent tool-using systems integrated with HRIS, ATS and payroll, enforce governance/risk controls and data classification, produce documentation and runbooks, and train People team members. Requires 5+ years software engineering experience and 2+ years building AI/ML-powered applications or agentic systems plus HR/People operations experience.

Owner of end-to-end AI compliance solutions: design and deploy agentic workflows (n8n, Claude API, Python, MCP), automate compliance use cases (alert prescreening, narrative generation, EDD, regulatory summarization), ensure auditability and regulatory compliance (GDPR, AML retention, sanctions), and transfer capability to Compliance teams. Requires 8+ years in compliance or RegTech with hands-on experience integrating systems via APIs and deploying production AI/automation solutions.

Affinity seeks a Senior Machine Learning Engineer for its AI Platform to design and build production ML systems focused on information extraction, retrieval, ranking and recommendations. Responsibilities include full ML lifecycle work (feature engineering, model selection, deployment, observability), collaborating with cross-functional teams, and working with vector/graph databases and modern ML frameworks. The posting lists a base salary range of 160,000–220,000 CAD.

Grafana Labs is hiring a Staff Engineer (AI & Automation) based in Canada (remote, Quebec residents not eligible). The role owns end-to-end development of multi-agent AI systems, LLM integrations, and backend services connecting models to internal and third-party data (e.g., BigQuery, CRMs, Slack). Requires 8+ years software engineering experience, 2+ years applying LLMs in production, strong Python and Node.js skills, and familiarity with GCP, serverless/containerized services, RAG, prompt engineering, observability, and automation/orchestration tooling. Base compensation range in Canada: CAD 186,368–223,642 per year.

Design, implement, and operate end-to-end production ML systems including large-scale data pipelines, model training, serving, monitoring, and automated retraining. Work cross-functionally to improve ranking, recommendation, search relevance, advertising systems, and LLM-powered products. Requires 3+ years building and deploying ML systems, strong software engineering skills (Python/Java/Go), experience with ML frameworks (PyTorch/TensorFlow), and familiarity with large-scale data and real-time systems.

Owner of developer tooling and AI DevX platforms at Ramp: evaluate and integrate AI models/tools, build platforms that enable AI-driven engineering, gather developer feedback, and grow vendor partnerships. Role expects ~8+ years of software engineering experience, Python proficiency, strong backend/infrastructure and data systems expertise, and familiarity with AI coding tools and agents.

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.