GenAI Engineer
GenAI Engineer
Posted on :
05-06-2025
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1 Vacancy
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Job Description
GenAI Engineer
Drive innovation in the insurance industry as a Generative AI Engineer (hybrid role based in Toronto). Utilize Python Azure AI services FastAPI and Docker to build advanced NLP and LLM-based solutions. Work with Azure DevOps Kubernetes and scalable architectures in a strategic full-time contract position.
What is in it for you:
Salaried: $71 to $78 per hour.
Incorporated Business Rate: $85 to $92 per hour.
12-month contract.
Full-time position: 37.50 hours per week.
Weekday schedule from 9 am to 5 pm.
Hybrid work: in-office Tuesday to Thursday.
Opportunity to work in a dynamic and professional environment.
Join a passionate and inclusive team of professionals.
Responsibilities:
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.
Optimize application performance and ensure scalability.
Collaborate in the database design and management of those systems (MongoDB).
Stay up to date with emerging trends and technologies in the field of Generative AI.
What you will need to succeed:
Bachelor s degree in Computer Science Engineering Computational Linguistics Data Science or a related quantitative field (or equivalent experience).
Experience and exposure to Azure AI services vector databases LLMs and RAG pipelines.
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.
Nice-to-Have
Experience working with Python particularly in relation to NLP and AI.
Exposure to modern LLM-based libraries such as LangChain PyTorch GPT and Transformers.
Why Recruit Action
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
# MFCJP
Employment Type
Full Time
Key Skills
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