As of November 6, 2026, Jobsy lists 10 forward deployed engineer jobs in Montréal, QC. The most active employers are Urban Ridge Supplies, Tiger Analytics Inc. and hireVouch. Skills often requested: python, communication skills, typescript and aws.
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Welcome to the Jungle: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3–5 years of software or data engineering experience, hands-on Google AI stack experience (Gemini, Vertex AI), strong Python and TypeScript skills, and experience with RAG, vector search and agentic frameworks. A Google Cloud certification is required within two months of joining if not already held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need experience deploying enterprise software in private or hybrid cloud, running production Kubernetes clusters with Helm, and working with cloud platforms. They should enjoy working directly with customers in a fast-paced setting.
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need hands-on experience building production Python software, deploying RAG and agentic LLM applications, and building evaluation frameworks. They also need experience leading technical discussions with enterprise stakeholders and owning use cases end to end.
Python, vector databases, LLM orchestration frameworks, North platform
Candidates need strong full-stack engineering experience shipping software that real users rely on, plus sound judgment on security, data quality and production readiness. Clear communication with customers and stakeholders and the ability to work within SDLC and agentic development processes are essential.
Data models, Monitor operations in the leather industry, Documentation, Onboarding, Analyse issues, Debugging
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).
Gemini Enterprise, Vertex AI, Google ADK, BigQuery, LangGraph, LangChain
2+ YOECandidates need a bachelor's, master's or PhD in computer science, engineering, mathematics or a related field, plus 2+ years of professional experience in a fast-paced environment. Production programming experience, strongly preferably Python, familiarity with ML pipelines and strong technical communication are required.
5+ YOECandidates need at least 5 years of software or data engineering or data science experience, with deep expertise in one domain. Strong client-facing skills, programming in Python or PySpark, and experience with LLMs or GenAI are needed.
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on work with Gemini, Vertex AI and GCP, and strong Python and TypeScript skills. A Google Cloud certification such as the Professional Machine Learning Engineer is preferred and must be obtained within two months of starting.
Gemini Enterprise, Vertex AI, BigQuery, Google Agent Development Kit, React, Terraform
Candidates need a strong software engineering background with experience building production systems. They should learn unfamiliar systems quickly, communicate well with technical and non-technical people, and be comfortable with customers and ambiguity.
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on Google AI stack work (Gemini, Vertex AI) and strong Python and TypeScript skills. A Google Cloud certification such as Professional Machine Learning Engineer is strongly preferred, and must be obtained within 2 months if not held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain