Gen AI Engineer

Bridgenext

  • Toronto, ON
  • Permanent
  • Full-time
  • 27 days ago
Company OverviewBridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.Position DescriptionWe are looking for a talented and experienced GenAI Engineer to join our team in the GTA to assist with a long-term project at our financial services client.Workplace: Hybrid position, working remotely in Canada with some onsite work in Toronto officeMust 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
  • Bachelor’s degree in computer science, Engineering, Computational Linguistics, Data Science or a related quantitative field (or equivalent experience)
Preferred Skills:
  • Experience working with Python, particularly in relation to NLP and AI
  • Exposure to modern LLM-based libraries such as LangChain, PyTorch, GPT, Transformers
Professional Skills:
  • Solid written, verbal, and presentation communication skills
  • Strong team and individual player
  • Maintains composure during all types of situations and is collaborative by nature
  • High standards of professionalism, consistently producing high quality results
  • Self-sufficient, independent requiring very little supervision or intervention
  • Demonstrate flexibility and openness to bring creative solutions to address issues
Bridgenext is an Equal Opportunity EmployerCanadian citizens and those authorized to work in Canada are encouraged to apply#LI-MA1#LI-REMOTE

Bridgenext