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Vector Database Job Jobs in Montreal, QC (NOW HIRING)

Valnet Inc.

Valnet Auto | Backend Team Lead

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

Vector Database * LLM Prompting * Good understanding of SEO practices, Google Analytics, and Google PageSpeed Benefits * Full health insurance plan (including medical, dental, and vision) * Daily on ...

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

Develop scalable AI pipelines using vector databases and modern retrieval techniques. * Apply Operations Research and optimization to solve supply chain problems. * Partner with engineering and ...

LawZero

Senior ML Research Developer

Montreal, QC

  • Medical

  • Retirement

  • PTO

Familiarity with data infrastructures and platforms (e.g., vector databases). * A track record of contributing to high-quality research projects in deep learning. What we offer * The opportunity to ...

Jumio

Senior Machine Learning Engineer

Montreal, QC · On-site

Familiarity with vector databases and ANN search * Synthetic Data: Experience with GANs or diffusion models for data augmentation * Mobile/Edge Experience: CoreML, LiteRT, and/or TFLite * Familiarity ...

AspenTech

Principal Software Developer

Montreal, QC

MongoDB, Postgres, Vector databases, SQL Server o Scripting languages: Bash, Python o CI/CD: Github Actions, Azure Pipelines o Containers & Orchestration: Docker, Kubernetes, Helm o Cloud platforms:

LawZero

Senior Distributed ML Engineer

Montreal, QC

  • Medical

  • Retirement

  • PTO

Familiarity with data infrastructures and platforms (e.g., vector databases). * A track record of contributing to high-quality research projects in deep learning. The title of Engineer is used for ...

Manulife

Agentic Engineer, Innovation

Montreal, QC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with Azure, AKS, PostgreSQL, Key Vault, graph and vector databases, agent orchestration, automated red teaming, LLM-as-a-Judge evaluation, Akka SDK patterns, Java syntax, or financial ...

New

LawZero

Senior ML Data Platform Developer

Montreal, QC

  • Medical

  • Retirement

  • PTO

Familiarity with data infrastructures and platforms (e.g., vector databases). What we offer * The chance to contribute meaningfully to a globally critical initiative * Comprehensive health benefits ...

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Showing results 1-20

All JobsVector Database Job JobsVector Database Job Jobs in Montreal, QC

Vector Database Job information

What can you do with a vector database job?

A vector database job involves managing and optimizing databases that store data as high-dimensional vectors, commonly used in machine learning and AI applications. Responsibilities include data indexing, similarity search, and ensuring efficient retrieval of relevant information, often requiring knowledge of data structures, query algorithms, and database management tools.

What are popular job titles related to Vector Database Job jobs in Montreal, QC?

For Vector Database Job jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Vector Database Job jobs in Montreal, QC look for?

The top searched job categories for Vector Database Job jobs in Montreal, QC are:

Vector Database Job jobs near you
Infographic showing various Vector Database Job job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

QA Lead - AI Systems & Models Testing

Jay Analytix

Montreal, QC

Contractor

Re-posted 6 days ago

Job description

QA Lead - AI Systems & Models Testing

Quality Assurance Artificial Intelligence Contract Position

Contract

Montreal, QC

AI / ML Testing

LLM / RAG / LangChain

ABOUT THE ROLE

We are seeking an experienced QA Lead with deep expertise in AI systems testing to join our team on a contract basis in Montreal, Quebec. This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration frameworks. You will own the end-to-end test strategy for complex AI products and help define quality standards in a rapidly evolving space.

MUST-HAVE SKILLS

  • Proven QA leadership experience designing and executing test strategies for AI/ML systems or LLM-powered applications.
  • Strong understanding of LLM internals: tokenization, embeddings, attention mechanisms, and inference behavior to anticipate and diagnose failure modes.
  • Hands-on experience with prompt engineering - constructing effective prompts, detecting hallucinations, and evaluating outputs across accuracy, tone, coherence, and bias dimensions.
  • Experience testing RAG pipelines and knowledge base integrations, including validation of data quality and retrieval accuracy as they impact model outputs.
  • Familiarity with vector database mechanics: similarity search thresholds, embedding drift, near-duplicate documents, and sparse vs. dense embeddings.
  • Practical experience with LangChain and/or LangGraph - able to read chain/graph construction code, identify failure points, and write test harnesses.
  • Ability to validate MCP (Model Context Protocol) integration points, including tool availability and error-handling scenarios.
  • Proficiency applying generative AI evaluation metrics and establishing quality thresholds appropriate for production AI systems.
  • Excellent written and verbal communication in English; bilingualism (English/French) is a plus for the Montreal market.

NICE-TO-HAVE SKILLS

  • Experience with bias detection and safety testing frameworks for AI systems.
  • Exposure to performance and scalability testing of vector databases under high load.
  • Familiarity with CI/CD pipelines for ML model deployment and automated regression testing.
  • Knowledge of responsible AI principles and AI governance frameworks.
  • Contributions to or experience with open-source AI testing or evaluation tooling (e.g., DeepEval, Ragas, PromptFlow).
  • Background in data engineering or data quality practices relevant to AI pipeline inputs.
  • Cloud platform experience (AWS, Azure, or GCP) in the context of deploying or testing AI workloads.

KEY RESPONSIBILITIES

  • Lead design and execution of comprehensive test strategies across AI systems, including prompt evaluation, output quality assessment, and bias/safety analysis.
  • Develop and maintain test harnesses for LangChain and LangGraph-based applications; review chain and graph construction code to proactively surface integration risks.
  • Validate RAG pipeline integrity - data ingestion, chunking, retrieval accuracy, and embedding consistency - and define edge-case coverage for vector database interactions.
  • Establish and track generative AI quality metrics and thresholds; report on model output quality across multiple evaluation dimensions.
  • Collaborate with ML engineers, data scientists, and product teams to embed quality practices throughout the AI development lifecycle.
  • Document test findings clearly for both technical and non-technical stakeholders.

Contract position based in Montreal, Quebec, Canada On-site / Hybrid

Employment Type: CONTRACTOR

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