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GenAI Engineer; Python, RAG, LangChain, LangSmith

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: Linuxassociation
Full Time position
Listed on 2026-10-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Python
Salary/Wage Range or Industry Benchmark: 110000 - 170000 CAD Yearly CAD 110000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: GenAI Engineer (Python, RAG, LangChain, LangSmith)
Location: Montreal

# GenAI Engineer (Python, RAG, Lang Chain, Lang Smith)
Apptad Inc · , CABack to results

GenAI Engineer (Python, RAG, Lang Chain, Lang Smith)
Apptad Inc, CA Posted October 26, 2026 Via  Full

Job Description

Job Title:

GEN AI Engineer (Python,RAG, Lang Chain, Lang Smith)

Job Location:

Montreal, QC (3 days in a week)
Job Type: Full-Time Our challenge

We are looking for a Senior AI/ML Engineer with expertise in Retrieval-Augmented Generation (RAG), vector databases, multimodal AI, and prompt engineering. The candidate will be responsible for building intelligent AI applications that leverage structured and unstructured enterprise data.

Key Responsibilities
• Design and implement enterprise-scale RAG pipelines.
• Build and optimize semantic search solutions using vector databases.
• Develop multimodal AI applications capable of processing text, images, documents, and other data formats.
• Create and optimize prompts for improved LLM performance and accuracy.
• Develop data ingestion, chunking, embedding, retrieval, and ranking strategies.
• Evaluate and improve AI solution quality, accuracy, and latency.
• Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications.

Required Skills
• Strong proficiency in Python.
• Hands-on experience building RAG solutions.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or Open Search.
• Strong understanding of embeddings, retrieval strategies, and semantic search.
• Expertise in Prompt Engineering.
• Experience building Multimodal AI solutions.
• Knowledge of LLMs and foundation models.
• Experience with Amazon Bedrock and AWS AI services.
• Familiarity with Lang Chain for RAG implementations.
• Knowledge of evaluation frameworks and AI observability tools.
• Experience deploying AI/ML applications in production environments.

Nice to Have
• Knowledge of Agentic AI concepts.
• Experience with Lang Graph or multi-agent architectures.
• Exposure to MLOps and model deployment pipelines.#### Apply for this Job This will take you to the original posting on the employer's site. Apply Now Via  

Job Summary Company Apptad  Inc Location, CATypeFull-time

Posted

October 26,
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