Job Title: Gen AI Engineer
Location Address: CAN, Ontario, Toronto
Hybrid – onsite 3 days per week
Target start date: asap
Duration: 1 year
Possibility of extension & conversion to FTE
Number of Positions: 1
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Reason: Additional Workload
Candidate Requirements/Must Have Skills:
• Design, develop, and maintain sophisticated NLP and Generative AI applications in Python.
• Design and implement back-end APIs to deliver Python services to front-end applications using FastAPI and Docker
• Experience and exposure to Azure AI services, Vector databases, LLMs and RAG pipelines.
• Optimize application performance and ensure scalability.
• Collaborate in the database design and management of those systems (MongoDB)
• Proficiency in utilizing Azure services such as Azure App Service, Azure Functions, Azure API Management, Azure Logic Apps, and Azure DevOps for building and deploying API-based solutions
• Strong understanding of Azure architecture and infrastructure, including Azure Resource Manager (ARM) templates, Azure Active Directory (AAD), and Azure networking
• Demonstrated expertise in integrating Azure services with other components of the tech stack to create end-to-end solutions
• Ability to optimize performance and scalability of APIs and UI/UX solutions on Azure, including leveraging features like auto-scaling and caching.
• Strong knowledge of Azure DevOps practices for CI/CD pipelines, version control, and automated testing.
• Proficiency in utilizing Azure Kubernetes Service (AKS) for containerized deployment and orchestration of API-based solutions.
• Familiarity with Azure Container Registry (ACR) for storing and managing container images securely.
• Stay up to date with emerging trends and technologies in the field of Generative AI.
Nice-To-Have Skills:
• Experience working with Python, particularly in relation to NLP and AI.
• Exposure to modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers
Education:
Bachelor’s degree in computer science, Engineering, Computational Linguistics, Data Science or a related quantitative field (or equivalent experience).