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 Robust 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.

📌 GenAI Engineer (Python, RAG, LangChain, LangSmith) (Montreal)
🏢 Apptad
📍 Montreal