Senior AI Engineer — Gemini Enterprise, Production‑Ready AI

Welcome to the Jungle; Montreal; On-site; CAD 120,000 - 160,000; Full time

Job summary

Artefact is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise and Google AI stack. You will design and build end-to-end AI systems, from interfaces to data pipelines, for client projects.

You’ll work across full delivery lifecycle including full-stack development, data engineering, cloud infrastructure, evaluation, and client communication, while mentoring peers and delivering production-grade solutions.

Qualifications

• 3–5 years of software or data engineering experience with AI tooling.
• Hands-on with Google AI stack: Gemini, Vertex AI, Gemini Enterprise.
• Frontend (React) and at least one backend framework experience.
• Experience with RAG, embeddings, and vector search.
• Bachelor's or Master's in CS/Engineering or equivalent.

Responsibilities

• Build full-stack AI applications from UI to infrastructure.
• Develop interfaces in TypeScript/React and backend in Python/Node.
• Implement agentic behavior: orchestration, memory, guardrails.
• Create RAG pipelines: ingestion, chunking, embeddings, vector search.
• Connect AI systems to enterprise data via APIs and semantic layers.
• Design and deploy production-grade AI systems on cloud.

Skills

Frontend development (React)

Backend development

RAG and vector search

GCP / cloud experience

Gemini Enterprise / Vertex AI

Agentic tooling (ADK, Claude/ Gemini)

Client communication

Education

Bachelor's or Master's in CS/Engineering

Tools

React

Vertex AI

Gemini Enterprise

ADK

LangChain

Terraform

CI/CD pipelines

BigQuery

Job description

Artefact is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise and Google AI stack. You will design and build end-to-end AI systems, from interfaces to data pipelines, for client projects.

You’ll work across full delivery lifecycle including full-stack development, data engineering, cloud infrastructure, evaluation, and client communication, while mentoring peers and delivering production-grade solutions.