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QA Engineer owning evaluation frameworks for non-deterministic LLM-based AI agent systems in heavy industry, building golden datasets, regression suites, and adversarial tests using Python and eval tooling integrated into CI/CD.
Design, build, and deploy AI applications and agentic systems (LLMs, orchestration, RAG, tool use) that solve real business problems across Stingray's departments, applying strong software engineering principles.
Build and evolve MCP servers, graph-RAG pipelines, and agentic layers that connect a platform to multiple LLMs (Claude, Gemini) using Python, vector databases, and graph data stores.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
Lead ML-based software development at RBC Borealis, prototyping and integrating algorithms in NLP, deep learning, and time series using Python and frameworks like PyTorch, JAX, or TensorFlow.
Architect and build AI systems for a AAA sports title in Unreal Engine 5 using C++, implementing team-based decision-making, positional awareness, and realistic athletic behavior.
Build reinforcement learning environments that evaluate AI models on software tasks (bug fixing, refactoring, etc.) using MCP tools, designing reproducible environments and deterministic verification systems.
Technical Lead and Project Manager owning end-to-end data and analytics project delivery, translating business requirements into technical plans and coordinating engineering teams on a hybrid contract basis.
Design, build, and maintain ETL data integration solutions using Informatica PowerCenter v10.2, IDMC, and PL/SQL, with a focus on performance tuning, troubleshooting, and cloud migration in an Agile team.
Builds and evolves MCP servers, tools, and graph-RAG pipelines to expose platforms to LLMs (e.g., Claude, Gemini) using Python, RAG, and vector databases, collaborating with product, data, and QA teams in an agile model.
ML Engineer building scalable, production-grade ML systems on real-world banking data (transactions, conversations, documents) using Python, C++, PyTorch, and TensorFlow.
Implement and enhance Salesforce CRM workflows (Omnistudio, LWC, APEX) and integrations/APIs for a banking fraud-workflow digitization project, using CI/CD pipelines in a hybrid role in Alberta.
Senior Data Scientist partnering with the SEO Marketing team to drive company-level SEO growth through metric development, causal inference experiments, A/B/MVT testing, and machine learning on web architecture, using SQL and Python/R.
Platform Engineer designing and supporting scalable Azure cloud capabilities—infrastructure automation with Terraform, Kubernetes, CI/CD pipelines, and AI/GenAI workloads for a financial services client.
Build MCP servers and graph-RAG pipelines, integrate multiple LLMs (Claude, Gemini), and deliver production-grade AI solutions in an agile team with product, data, and QA.
Builds and operates cloud infrastructure for real-time AI services, focusing on reliability, scalability, and security using AWS, Docker, Terraform, and CI/CD tools.
Senior Data Architect defining technology architecture standards for data governance, classification, and data quality across structured, unstructured, and geospatial data, using Microsoft Purview and Databricks Unity Catalog for an energy & resources client.
Infrastructure Engineer building and operating the cloud platform beneath AI products, writing production code and automating work across the full service lifecycle using Python, Docker, AWS/Azure, ECS/Lambda, Terraform/OpenTofu, and Datadog.
Hybrid Technical CRM Platform Specialist role focused on HubSpot architecture, data modeling, and integrations—building data pipelines and connecting marketing tech with core systems for a customer 360 view.
Join our Telegram channel to receive job offers on your phone!Join now! 08 Sep 2021 Workplace Remote Type Full time We’re looking for an Engineering Manager to help build and scale our platform and technologies to…
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