GenAI Engineer (Python, RAG, LangChain, LangSmith)

Linuxassociation; Montreal; Hybrid; CAD 110,000 - 170,000; Full time

Job summary

Apptad Inc is seeking a GenAI Engineer in Montreal to design and implement enterprise-grade RAG pipelines, build semantic search with vector databases, and create multimodal AI applications. You will optimize prompts and embeddings for high accuracy and low latency, collaborating with cross-functional teams.

The role requires strong Python, LangChain, LangSmith skills, and experience deploying AI solutions in production. Occasional on-site Montreal work is expected.

Qualifications

• Strong Python proficiency with production experience.
• Hands-on with RAG pipelines and semantic search.
• Experience with vector DBs and embedding strategies.

Responsibilities

• Design enterprise-scale RAG pipelines and data ingestion.
• Build semantic search using vector databases.
• Develop multimodal AI apps processing text/images/docs.

Tools

Python

Pinecone

Weaviate

Milvus

Chroma

OpenSearch

LangChain

LangSmith

Embeddings

Semantic search

Prompt engineering

Multimodal AI

LLMs

Amazon Bedrock

AWS AI services

Vecto r databases

Job description

# GenAI Engineer (Python, RAG, LangChain, LangSmith)Apptad Inc · , CABack to resultsGenAI Engineer (Python, RAG, LangChain, LangSmith)Apptad Inc, CA Posted October 26, 2026 Via Talent.com### Full Job DescriptionJob Title: GEN AI Engineer (Python,RAG, LangChain, LangSmith)Job Location: Montreal, QC (3 days in a week)Job Type: Full-TimeOur challengeWe 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 OpenSearch.• 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 LangChain 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 LangGraph or multi-agent architectures.• Exposure to MLOps and model deployment pipelines.#### Apply for this JobThis will take you to the original posting on the employer's site. Apply NowVia Talent.com#### Job SummaryCompanyApptad IncLocation, CATypeFull-timePostedOctober 26, 2026SourceTalent.com