Udacity (an Accenture company) seeks external part-time AI Technical Mentors to provide 1:1 sessions, technical deep-dives, and group Q&A. Mandatory skills include Python, API integration, core AI/ML concepts, familiarity with LLMs and generative AI, prompt engineering, ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), exposure to frameworks like LangChain and LlamaIndex, and knowledge of RAG, embeddings, and vector databases.

Lead the definition, experimentation, and productization of agentic SDLC capabilities, designing reference architectures, safety guardrails, observability, and evaluation frameworks. Partner across Architecture, Product, Infrastructure, and Data/ML teams to drive internal adoption and scale reliable, multi-tenant solutions to customers while mentoring senior engineers.

Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.

Join the Elasticsearch Search team as a Principal Software Engineer to lead development of vector search capabilities (algorithms, data structures, and system-level improvements). Role involves implementing and improving vector similarity features (HNSW, IVF, etc.), writing idiomatic modern Java, collaborating with a globally distributed team, contributing to open source, and working with related storage technologies. Compensation listed in CAD (base salary range provided).

Work involves building high-performance runtime and compiler components for inference (LPX), implementing mappings for large-scale inference workloads, integrating with NVIDIA software ecosystem, and benchmarking and profiling for performance. Candidates should be pursuing or recently completed an MS/PhD (or equivalent), have systems-level programming experience (C/C++ and/or Rust), and hands-on experience with compiler/runtime development (LLVM/MLIR, IR design, optimization passes) and deep learning frameworks (TensorFlow, PyTorch, ONNX).

NVIDIA is hiring a new-college-grad engineer to build and maintain high-performance compiler and runtime components for LPX inference, implement mappings for large-scale inference workloads, and benchmark/profile performance. Candidates should be pursuing or recently completed an MS or PhD (or equivalent), have systems-level programming experience (C/C++ and/or Rust), and hands-on experience with compiler/runtime development such as LLVM/MLIR, IR design, and optimization passes.

Contract Lead Instructor (2-week, ~30 hrs/week) delivering live remote instruction and hands-on labs on MLOps and AI platform engineering. Requires 7+ years in software/data engineering, 3+ years in MLOps/ML platform roles, deep Azure ML / AI Foundry experience, Python and ML CI/CD knowledge, and certifications AZ-900, AI-900, DP-100 (AI-102 preferred). Engagement is remote and must align with Pacific Time; estimated lump-sum compensation $11,500–$15,500 for the program.

Sardine seeks a Forward Deployed AI Engineer to work directly with clients to translate operational challenges into technical architectures, train and deploy custom AI agents, and build evaluation pipelines and AI risk metrics. Requires 5+ years in Data Science or Applied AI and proficiency in Python and SQL. Role is remote for candidates based in the United States or Canada.

General Assembly seeks a subject matter expert to validate competencies, technical accuracy, and async learning assets for an MLOps/AI Platform Engineer pathway targeted at customer-facing professionals. Requires 7+ years in software or data engineering, 3+ years in MLOps/ML platform production roles, strong experience with ML pipelines, deployment, monitoring, governance, Python, CI/CD, and Azure/Azure ML. Engagement is ~15–20 hours/week for 6–7 weeks, paid $60–$75/hour, remote from approved countries.

Design, build, and evolve machine learning systems and automated training/ETL pipelines for Hopper's pricing engine; deploy and monitor real-time ML pricing solutions in production and run champion-challenger tests. Role expects 5+ years experience with production ML systems, proficiency in Python, Scala, SQL, distributed data processing, and domain knowledge in pricing or demand forecasting.

Join Hopper's Fintech Foundation as a senior software/ML engineer responsible for designing and deploying production ML pricing solutions. Responsibilities include building automated training pipelines, ETL and feature engineering, real-time model deployment, and production monitoring for latency, drift and training-serving skew. Requires 5+ years in production ML or large-scale pricing platforms, strong Python/Scala/SQL experience, and proficiency in French and English. Role is remote in Canada (Montréal listed).

Senior/Staff engineering role responsible for driving architecture and technical strategy for code generation and transformation workflows. Requires 8+ years of software development experience, hands-on delivery of high-performance systems, experience with relational databases (Oracle, MySQL, MS SQL Server, PostgreSQL), familiarity with code analysis/refactoring and automated testing, and practical experience integrating GenAI/LLMs into large-scale systems. Role is based in North America (Canada provinces listed in the posting).

Lead ambitious research initiatives in computer vision and multimodal AI, develop and productionize large-scale vision and multimodal foundation models (transformers, diffusion, contrastive methods), mentor scientists/engineers, and partner with product and ML engineering teams. Remote-first role open to candidates in the United States and BC/ON, Canada; advanced degree (PhD preferred) and 8+ years of relevant experience expected.

Remote (Canada) Staff AI Engineer role at SecurityScorecard: lead end-to-end design and delivery of AI systems (LLM pipelines, agentic workflows, retrieval and evaluation infrastructure), set engineering standards for AI-native development, collaborate with product and CTO organization, and drive cross-team technical strategy. Requires 7+ years software engineering and 3+ years shipping AI-powered features; strong TypeScript and backend/distributed systems experience; AWS preferred.

SecurityScorecard seeks a Senior AI Engineer to design, build, and ship AI-powered customer-facing features, integrating foundation models and architecting agentic workflows. Requires 5+ years software engineering experience, 2+ years in production AI applications, proficiency in TypeScript, backend fundamentals, distributed systems experience (AWS preferred), and familiarity with CI/CD, Docker/Kubernetes, and production monitoring. Position is remote (CAN); company does not provide immigration sponsorship.

CrowdStrike is hiring a remote Canada-based engineer to own the full lifecycle of AI agents—prototyping, prompt engineering, fine-tuning (LoRA/QLoRA), optimizing performance, and deploying scalable, secure solutions. Role emphasizes Python, modern LLM frameworks (vLLM, SGLang), production deployment experience, and awareness of AI safety within cybersecurity contexts. Salary range provided: 115,000–165,000 CAD/year.

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.

Full-time, permanent Senior Software Engineer role (based in Canada; visa sponsorship not available) responsible for designing and building Python applications and AI solutions. Requires ~8+ years' experience, deep Python and AI/agentic framework knowledge, experience with Git, CI/CD, testing, databases, cloud environments and agile delivery; frequent travel to US client sites is required.

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.