Job Description: AI Developer AI/ML, Python, LangChain, NLP, LLM Location: Toronto, ON (Hybrid 4 days/week onsite) Duration: 12 Months Role Overview The Senior AI Engineer will be responsible for developing, optimizing, and deploying cutting-edge AI and machine learning solutions.

This role involves building scalable ML pipelines, integrating AI models into production environments, collaborating with cross-functional Agile teams, and driving innovation through up-to-date AI technologies.

Key Responsibilities Develop and optimize machine learning models for business use cases such as: Document automation Customer segmentation Risk assessment Design, build, and maintain scalable ML pipelines for production deployment.

Ensure reliable, scalable, and high-performing AI model deployments with minimal downtime.

Collaborate with Product Owners, Data Scientists, Software Engineers, Designers, Quality Engineers, and ML Engineers within Agile squads.

Build and maintain CI/CD pipelines for machine learning model lifecycle management, including testing, versioning, and deployment.

Monitor production models for: Performance Accuracy Fairness Model drift Bias detection Create and maintain technical documentation for models, pipelines, and engineering processes.

Participate in Site Reliability Engineering (SRE) activities to support production applications.

Provide after-hours production support when required.

Improve operational efficiency by implementing engineering best practices, monitoring, metrics, and maintaining Service Level Agreements (SLAs).

Stay current with emerging AI/ML technologies and share knowledge across engineering teams.

Required Skills & Qualifications Programming & Software Engineering Strong programming experience in:



Python Java C++ Experience with software development best practices and Agile methodologies.

Cloud & MLOps Experience working with cloud platforms: AWS Microsoft Azure Google Cloud Platform (GCP) Experience with MLOps tools and production ML deployment.

Machine Learning & AI 2+ years of hands-on experience developing and optimizing machine learning models.

Strong understanding of advanced machine learning algorithms and techniques.

Experience building and deploying production-grade ML solutions.

Large Language Models (LLMs) Hands-on experience with: LangChain Hugging Face Transformers OpenAI APIs Experience integrating LLMs into enterprise applications.

Experience evaluating LLM performance using appropriate metrics.

Natural Language Processing (NLP) Strong understanding of NLP concepts, including: Named Entity Recognition (NER) Text Summarization Text Classification Information Extraction Preferred Experience Production monitoring and model lifecycle management.

CI/CD automation for ML applications.

Model governance, fairness, and bias monitoring.

Site Reliability Engineering (SRE) practices.

Cross-functional collaboration in Agile development environments.
Backend Engineer – Kotlin, Microservices & AKS
Role Overview:
We are seeking a highly skilled backend developer with strong experience in modern programming languages and frameworks, with primary expertise in Kotlin and exposure to Java, microservices, and cloud platforms.
Technical Skills:
• Proficiency in Kotlin, with additional experience in Java (Spring Boot, Spring Security) and JavaScript (Node.js)
• 5+ years of backend development experience, including:
o Unit testing frameworks (e.g.,
5+
60-70

Required Skill Profession

Other General

📌 AI Developer (Toronto)
🏢 Astra North Infoteck
📍 Toronto