Job Title: GenAI Engineer 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 • Solid 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, QC (Hybrid)
🏢 Apptadinc
📍 Montreal