AI/ML Engineer
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Cynet Systems
Full Time
position
Listed on 2026-01-01
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description:Requirements:4+ years of experience as a Python AI Engineer.Strong experience with FastAPI, SQLAlchemy, and PyTest.Experience with agentic AI frameworks (e.g., Haystack, Lang Graph, CrewAI).Familiarity with LLM-based systems and integration patterns.Working experience of Docker, Kubernetes, and Git.Hands-on experience with Azure cloud services (especially Azure AI, Azure Functions, etc.).Familiarity with Postgre
SQL.Experience with Retrieval-Augmented Generation (RAG), including vector databases and embeddings.Experience with Langfuse or similar LLM evaluation/monitoring tools.Experience with CI/CD workflows and observability tools.Interest in emerging LLM/agentic tooling and frameworks.Solid understanding of natural language processing techniques, with experience in deploying NLP systems and working with prompt libraries.Expertise in data analysis and analytics.Proven track record of driving innovation and solving complex technical problems using AI and machine learning.Good communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.Experience working collaboratively within cross-functional teams.Understanding of data privacy and security standards, ensuring systems are compliant with industry regulations and best practices.Passion for continuous learning and staying updated with the latest trends and advancements in AI/ML technologies.Responsibilities:Collaborate with PO, BA, stakeholders to understand the specific needs and requirements of the business process.Translate business needs into technical specifications.Collaborate with frontend engineers, Data Scientists, and Dev Ops to deliver scalable LLM solutions.Develop and maintain backend services using FastAPI.Work with agentic AI frameworks like Haystack to build AI pipelines and components.Design and implement robust database models using SQLAlchemy with Postgre
SQL.Write and maintain unit and integration tests using PyTest.Deploy services using Docker and Kubernetes.Utilize Azure services (e.g., Azure AI) for hosting, inference, and other cloud-native features.Use Langfuse or similar tools for LLM performance monitoring and evaluation and implement improvements as necessary.Develop and refine the prompt library to facilitate seamless user interaction and request handling.Ensure the AI models integrate effectively with existing applications and workflows.Conduct thorough testing of AI models to ensure they meet quality, performance, and accuracy standards.Provide ongoing support and troubleshooting to address any system issues.Monitor and adapt AI systems to accommodate changes in the business process or user requirements.Create comprehensive documentation for developed solutions.
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