AdTechTalent
Data Science93 days agoHybrid

Klever

AI Engineer / Ingénieur IA

pythonsqlgoogle cloudbigqueryvertex aifirestoremlopsaidata engineeringllmdockerterraformtensorflowpytorchmachine learningprogrammatic advertisingdata pipelinesdistributed computinggitagile

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Montréal, Canada

Full job description

Join Klever Programmatic as an AI Engineer to develop AI agents and solutions leveraging diverse datasets to improve decision-making and commercial outcomes. This hybrid role based in Montreal involves collaborating with data scientists, domain experts, and software engineers to build and maintain data pipelines and APIs hosted on Google Cloud (BigQuery, Vertex AI, Firestore). Requirements include 3+ years experience in AI implementation, proficiency in Python, SQL, data modeling, MLOps, data preprocessing, batch data processing, and familiarity with Git and agile methodologies. Preferred skills include Kedro, LangChain, CrewAI, TensorFlow, PyTorch, Terraform, Docker, big data technologies, and domain knowledge in advertising and marketing.

What you'll do

  • Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and support
  • Implement data pipelines that facilitate preprocess, clean, and prepare large datasets for various purposes: feeding AI agents and platform visualizations
  • Work with agent communication and tool/data access patterns (e.g. Agent2Agent (A2A), MCP, agent skills, or similar emerging standards)
  • Build data pipelines hosted in Google Cloud with technologies like BigQuery, Vertex AI, Firestore (NoSQL database), external APIs and other cloud services
  • Develop APIs and MCPs for model-serving and LLM-powered systems

Requirements

  • Minimum of 3 years of hands-on experience in implementing AI solutions
  • Proven knowledge of MLOps/AI platforms and workflows in real-world applications
  • Proficiency in the Python programming language
  • Familiarity with SQL and data modelling principles
  • Strong understanding of data manipulation, feature engineering, and data preprocessing techniques
  • Experience with developing batch data processing applications, monitoring data processing applications and orchestrating data processing applications
  • Familiarity with software development best practices, version control systems (Git), and agile methodologies
  • Understanding of different data storage formats (JSON, parquet, etc.)
  • Good knowledge of concepts and best practices related to ML/AI
  • Proficiency and interest in using coding agents: Claude Code, Codex, Copilot, etc.

Tech stack

PythonSQLGoogle CloudBigQueryVertex AIFirestoreAPIsMCPLLMClaude CodeCodexCopilotKedroLangChainCrewAITensorFlowPyTorchTerraformDockerBig DataDistributed ComputingGit

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