Position: AI Engineer

Duration: 12 months+

Location: Toronto, Canada (Hybrid)

Required Skills

- Proven experience as a software engineer with robust proficiency in Python and/or Java, writing clean, scalable, production-grade code.

- Solid experience designing and building microservices and RESTful APIs in distributed, cloud-based environments.

- Experience building Retrieval-Augmented Generation (RAG) systems – including document ingestion, chunking strategies, vector stores, and retrieval pipelines.

- Experience building MCP servers

- Experience integrating agentic systems with external APIs, third-party services, and enterprise data sources.

- Strong understanding of security in agentic systems – authentication, authorization,



least-privilege access, prompt injection defense, and audit logging.

- Knowledge of relational databases (e.g. PostgreSQL, Microsoft SQL Server) and vector databases (e.g. Qdrant, Pinecone, pgvector, Weaviate).

- Experience with distributed computing.

- Experience writing code/scripts in Python.

- Generative AI Code Assistants – Use of Generative AI Code Assistants (e.g. GitHub Copilot) and knowledge of latest Generative AI model capabilities

BSc/BA in Computer Science or a related degree.

📌 Artificial Intelligence Engineer (Greater Toronto Area)
🏢 Better Future Solutions
📍 Greater Toronto Area