Gen AI Engineer

3 weeks ago

Mississauga, Canada Nexus Systems Group Inc. Full time

Overview

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

Responsibilities / Requirements

- 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).

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