Spécialiste IA agentique chez Maplr, développant agents, pipelines LLM et systèmes RAG pour les télécommunications et médias québécois. Travail hybride à Montréal.
Responsibilities
Design and maintain autonomous agents and loops using LangGraph, LangChain, CrewAI, or AutoGen
Securely connect agents to enterprise APIs and containerized environments (Docker, Cloud Run)
Build conversational assistants with Dialogflow CX / Google CCAI
Build ingestion pipelines to BigQuery with Airflow and typed schemas that are readable by agents (Pydantic, JSON)
Chunk technical documents, generate and index embeddings (Vertex AI Vector Search, pgvector)
Optimize prompts, latency, and token costs on Gemini and Vertex AI
Integrate AI into the development lifecycle: test generation and automated dependency fixes
Deploy agentic AI ecosystems for telecommunications and media, including predictive maintenance, customer retention, contact center assistants, and code modernization
Requirements
5+ years of experience in software development, data engineering, or data science
At least 2 years of experience putting generative AI applications, agents, or RAG systems into production
Proficiency in Python (asynchronous programming, pandas, APIs) and SQL
Public GitHub profile or portfolio demonstrating real-world deployments
Bachelor’s degree or DEC in computer science, software engineering, data science, or statistics
Spoken French and proficiency in English
Assets: Google Cloud Professional certification, telecommunications experience, Agile, and Jira
Transparency, kindness, positivity, and the ability to explain complex systems to non-technical audiences
Benefits
Comprehensive relocation support for you and your family, if needed
4 weeks of vacation and sick leave
Group insurance and Dialogue telemedicine
Paid AWS or Azure certification
Professional development plan, including AI training provided by MIA Innovation
Downtown offices at the AI Hub, with a hybrid work model
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