Data Developer (AI)

Location: Montreal, Canada

Company

hirify.global is a diversified trading firm that combines sophisticated technology and quantitative expertise to operate across global financial markets and non-traditional strategies.

What you will do

• Design and build data pipelines for RAG systems, including document ingestion, chunking, embedding generation, and vector storage.
• Develop ingestion pipelines for structured and unstructured data into a centralized data lake for analytics, research, and AI workloads.
• Prepare and optimize datasets for fine-tuning and inference workloads.
• Build monitoring and evaluation frameworks for retrieval quality, latency, and system performance.
• Collaborate with ML engineers to optimize data formats, storage patterns, caching, and versioning for model serving.
• Deploy vector databases, embedding services, and data processing pipelines while improving data quality, latency, and retrieval accuracy.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 2–5 years of experience building production data systems and pipelines.
• Strong experience with RAG architectures and vector databases such as Milvus, ChromaDB, Pinecone, Weaviate, or Qdrant.
• Proficiency in Python and DAG-based orchestration platforms such as Airflow, Dagster, or Prefect.
• Hands-on experience with embedding models, semantic search, distributed data processing, and LLM inference optimization.
• Familiarity with Docker, containerization, orchestration platforms, data modeling, ETL/ELT patterns, and data quality practices.

Culture & Benefits

• Work in an AI and Multi Asset Systematic Strategies team supporting AI researchers and teams across the firm.
• Operate in an environment emphasizing autonomy, innovation, curiosity, integrity, and the ability to challenge consensus.
• Contribute ideas for new tools, process improvements, and technology adoption.