GenAI Engineer (Python, RAG, LangChain, LangSmith)

Job Title: GEN AI Engineer (Python,RAG, LangChain, LangSmith) 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 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.