The Role: GEN AI Engineer (Python,RAG, LangChain, LangSmith)

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




Solid proficiency in Python.
Hands-on experience building RAG solutions.
Experience with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or OpenSearch.
Robust 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.

📌 Gen Ai Engineer Python,rag, Langchain, Langsmith Montreal (Canada)
🏢 Apptad
📍 Canada