Agentic AI Specialist – Software Engineering, Data Engineering, Data Science

Maplr

. Design and maintain autonomous agents and loops using LangGraph, LangChain, CrewAI, or AutoGen .

Posted 11/4/2026full-timeMontreal • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining autonomous agents and integrating AI into development lifecycles, with a strong focus on generative AI applications and data engineering. Proficient in Python and SQL, with experience in deploying AI solutions in telecommunications and media sectors.

Highest-signal resume keywords

Python ProgrammingGenerative AI ApplicationsData EngineeringGoogle Cloud Professional CertificationTelecommunications Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Asynchronous ProgrammingAPIsSQLData SciencePandasLangGraphLangChainCrewAIAutoGenDialogflow CX

Soft Skills

TransparencyKindnessPositivityComplex System Explanation

Tools & Technologies

DockerCloud RunBigQueryAirflowPydanticJSONVertex AI Vector SearchPgvectorGeminiJira

Certifications & Qualifications

Google Cloud Professional Certification

Industry Keywords

Autonomous AgentsRAG SystemsPredictive MaintenanceCustomer RetentionContact Center AssistantsCode Modernization

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerPandasPythonSQL

About the role

Key responsibilities & impact

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)
Evaluate RAG (faithfulness, relevance, context recall), build benchmark datasets, and detect drift
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

What you’ll need

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

Comp & perks

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
The Maplr experience: 5 à 7 events and meetups