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Détails du poste
- Lieu de travail : Montreal (Hybride)
- Type de poste : Temporaire à temps plein
Senior AI/ML Engineer (Python, RAG & Multimodal AI)
Job Location: Montreal, QC (3 days per week onsite)
Job Type: Contract
Description du poste
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.
Responsabilités clés
- 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.
Exigences
- 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.
Qualifications préférées
- 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.
À considérer (Nice to Have)
- Knowledge of Agentic AI concepts.
- Experience with LangGraph or multi-agent architectures.
- Exposure to MLOps and model deployment pipelines.
