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Data Scientist
Build and deploy generative AI solutions using LLMs, RAG pipelines, and embeddings to automate documents, customer service, and knowledge retrieval in a hybrid London role.
Lead AI Engineer
Lead AI Engineer builds and scales production-grade AI systems like virtual agents and copilots using Python, LLM frameworks, and agentic tooling in a Sydney-based enterprise AI team.
Senior Machine Learning Engineer
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, then deploys and monitors them in production.
AI Engineer, AI Agents and Platform Integration
Build AI agents, RAG/vector search, and platform integrations to automate workflows and enhance ETP Hub with AI-enabled tools for document search, summarization, and task assistance.
Lead AI Engineer (Python)
Lead AI Engineer builds and deploys production LLM apps, designs reasoning agents, and integrates AI with cloud infrastructure and enterprise systems using Python and AWS.
AI Engineer
Build and own scalable backend systems for enterprise AI solutions, integrating agentic AI and LLMOps into production-grade platforms using Python, Docker, and Kubernetes.
AI Engineer
Build and deploy production-grade AI systems, including LLMs, RAG, and multi-agent workflows, using Python/TypeScript and cloud-native tools while mentoring clients.
Senior AI Engineer
Develops and maintains cloud-based AI agents and RAG pipelines on Azure, mentors engineers, and ensures production stability for healthcare diagnostic platforms.
Principal Artificial Intelligence (AI) Solutions Architect
Principal AI Solutions Architect designs, prototypes, and governs enterprise-scale AI systems, focusing on GenAI (LLMs, RAG, agents) and their integration with business workflows and data pipelines.
Senior Marketing AI & Systems Manager
Who we are: Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and…
Gen AI Solutions Engineer #124
Design and deploy enterprise-scale generative AI agents and RAG pipelines on Google Cloud for SMB and enterprise clients, using Vertex AI, LangChain, and LlamaIndex.
Lead Agentic AI Engineer – VP (Mississauga)
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
Senior AI Engineer, IT Solutions 1
Senior AI Engineer designs and deploys generative AI and RAG systems, scoping solutions, building vector pipelines, and leading MLOps for production-grade AI tools in a manufacturing-focused tech stack.
Staff AI Engineer
Build and scale the AI agent platform powering financial services, designing secure, cloud-native infrastructure across AWS, Azure, and OpenShift while mentoring engineers.
Manager AI Engineer - Python
Lead a Python-based AI engineering team to design, build, and deploy scalable Gen AI solutions using LLMs, RAG, and agentic systems on AWS, while mentoring engineers and driving technical strategy.
Senior AI Engineer - Toronto, ON
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Manager, AI Engineer (Python)
Lead a Python team to build and scale Gen AI solutions using AWS, LangChain, and vector databases, while mentoring engineers and aligning tech with business goals.
Enterprise AI Engineer
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
AI Solutions Developer - (GenAI / OpenAI)
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.