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Gen AI Engineer
Job summary
A leading tech company is seeking a Gen AI Engineer to design and maintain cutting-edge NLP and Generative AI applications. This role focuses on utilizing Python and Azure services, including API development and infrastructure management. Candidates should have a Bachelor's degree in relevant fields and strong Azure experience. The position offers a hybrid work schedule in Mississauga and involves collaboration on modern AI solutions.
Qualifications
- Experience in designing and developing NLP and Generative AI applications.
- Familiar with back-end API implementation.
- Proficiency in Azure cloud services.
Responsibilities
- Develop and maintain NLP and AI applications in Python.
- Implement back-end APIs using FastAPI and Docker.
- Collaborate on database design and management systems.
Skills
Education
Tools
Job Title: Gen AI Engineer
Location: CAN, Ontario, Toronto
Work Arrangement: Hybrid – onsite 3 days per week
Target start date: asap
Duration: 1 year
Possibility of extension & conversion to FTE
Number of Positions: 1
Schedule: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Reason: Additional Workload
- 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.
- Experience working with Python, particularly in relation to NLP and AI.
- Exposure to modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers.
Bachelor’s degree in computer science, Engineering, Computational Linguistics, Data Science or a related quantitative field (or equivalent experience).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.