[Remote] Gen AI Engineer

Note:The job is a remote job and is open to candidates in USA. Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations. They are seeking a talented and experienced GenAI Engineer to design, develop, and maintain sophisticated NLP and Generative AI applications for a financial services client. 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• 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 AISkills• 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)• Experience working with Python, particularly in relation to NLP and AI• Exposure to modern LLM-based libraries such as LangChain, PyTorch, GPT, TransformersCompany Overview• Bridgenext is a global digital consultancy that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need.It was founded in undefined, and is headquartered in Jacksonville, Florida, US, with a workforce of 1001-5000 employees. Its website is Apply tot his job