Forward Deployed Engineer (Generative AI)
Télétravail au CanadaTiger Analytics Inc.
Candidates need advanced Google Cloud and Vertex AI experience, hands-on work with LLM frameworks and vector databases, and strong Python and Terraform skills. They must be able to explain LLM limitations to clients, debug across complex systems, and travel to client sites.
Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, Kubeflow, LangChain
AI Engagement Lead
Toronto, ONTiger Analytics Inc.
10+ ansCandidates need 10+ years in software engineering, AI/ML or data science, with hands-on experience deploying AI solutions and leading technical teams. They must be strong in Python, LLMs, RAG and vector search, and comfortable communicating with clients.
Python, FastAPI, Docker, Kubernetes, LangChain, LangGraph
AI and Integration Architect
Télétravail au CanadaTiger Analytics Inc.
8+ ansCandidates need at least 8 years in software architecture, system integration or machine learning engineering, including 2-3 years putting AI or LLM solutions into production. Azure Databricks experience is preferred.
Azure Databricks
Lead AI Architect & Delivery Manager
Télétravail au CanadaTiger Analytics Inc.
2+ ansCandidates need strong production Python experience, including asyncio and FastAPI, and at least two years building multi-agent AI systems with LangGraph, AutoGen, CrewAI or LlamaIndex. They also need experience with structured LLM outputs, vector databases, and testing of LLM-driven applications.
Snowflake Cortex, LangGraph, AutoGen, CrewAI, LlamaIndex, FastAPI
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Toronto, ONTiger Analytics Inc.
7+ ansCandidates need 7+ years of software, ML or AI engineering experience, strong Python skills, and hands-on experience building GenAI or agentic AI systems. Cloud deployment experience on AWS, Azure or GCP and comfort with client-facing work are also required.
Amazon Bedrock, Azure OpenAI Service, Azure AI Search, Azure AI Foundry, Vertex AI, OpenSearch Serverless