Job Title: GenAI Engineer (local to Quebec only) Job

Location:
Montreal, QC (3 days/week onsite) Job Duration: Full time 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. The Role: GEN AI Engineer (Python,RAG, LangChain, LangSmith)

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.

📌 GenAI Engineer (Montreal)
🏢 Apptad
📍 Montreal