Job title : Gen AI Engineer
Period : 6 Months
Location : Toronto, ON
Work Mode : Hybrid ( 3 days )
Description :
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).