NeverHard

AI Engineer / Developer at CYNET SYSTEMS — NeverHard

AI Engineer / Developer at CYNET SYSTEMS in Toronto, Ontario. Skills: AI, CI/CD, Cloud Computing, Communication, Data Modeling. Apply on NeverHard.

Company
CYNET SYSTEMS
Location
Toronto, Ontario
Type
full_time

Remote: Yes

Required skills:

Job Overview: We are seeking an AI Engineer / Developer to join our IT Application division. The role involves building and maintaining scalable data pipelines and optimizing AI systems. Requirement/Must Have: Advanced Python proficiency with strong software engineering fundamentals. Proficiency in SQL and distributed computing. Deep experience with data modeling and feature engineering across the ML lifecycle. Hands-on experience building LLM applications and agentic AI frameworks. Expertise designing distributed systems at enterprise scale. Strong CICD and DevOps knowledge. Experience with event streaming platforms. Demonstrated ability to design and deploy hybrid cloud and on-premise systems. Excellent collaboration and communication skills. Self-directed problem-solving mindset. Master's degree in Computer Science, Software Engineering, or related field with 5 years in data/software/ML/AI engineering preferred. Responsibilities: Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation. Design and optimize data models, feature stores, and storage patterns for AIML workloads. Implement DataOps and MLOps automation, including CICD, data validation, model deployment, and monitoring. Design, build, and optimize agentic AI systems and LLM-powered applications. Develop and integrate AI services into secure production-grade environments. Design and implement AI systems architecture best practices and standards across the organization. Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications. Provide infrastructure design optimization and monitoring support. Translate business requirements into technical solutions through cross-functional collaboration. Ensure code quality, system reliability, scalability, and observability. Nice to Have: UI development expertise with React and JavaScript.