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Jobs or company...

Senior GenAI Developer

Salary undisclosed

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Dice
Original
Simplified

Below is a breakdown of the skills set needed to successfully build, deploy, and maintain an enterprise level RAG application in Azure.

Cloud Infrastructure & DevOps

  • Azure Cloud Expertise: Understanding of Azure services such as Azure OpenAI, CosmosDB, Azure Search, Azure Functions, Key Vault, and Azure Storage.

Skills: Azure CLI, Azure DevOps, Terraform for infrastructure as code, managing Azure Resource Groups, App Services, and Azure Function Apps.

  • Infrastructure as Code (IaC):

Skills: Terraform, Makefile scripting, handling Azure resource provider registration.

  • CI/CD Pipeline Setup and Maintenance: Ability to set up and maintain continuous integration and deployment pipelines (e.g., using Azure DevOps or GitHub Actions).

Skills: Azure DevOps Pipelines, GitHub Codespaces, GitHub Actions, Docker/Containers.

  • Containerization: Managing containers in Azure, including using development containers in GitHub Codespaces.

Skills: Docker, container orchestration tools, Azure Kubernetes Service (AKS).

  • Security and Compliance: Managing security for Azure AD, handling authentication and authorization, managing secrets via Key Vault, DDoS protection, and securing the environment.

Skills: Azure AD, OAuth, managing roles and permissions, security best practices, network security (private vnets, etc.).

Backend Development

  • Python Backend Development: The core backend services are written in Python

Skills: Python, Flask, API development, integration with Azure services like Azure AI Search, Azure Storage, CosmosDB.

  • RAG Application Knowledge: Experience in building applications that use RAG to retrieve information and augment responses using models such as GPT and embedding models.

Skills: Azure OpenAI models (gpt-4o, text-embedding-ada-002), prompt engineering, embedding APIs, text chunking and indexing for AI-driven search.

  • Data Processing Pipelines: Creating and managing document processing pipelines for language translation, embedding text chunks, etc.

Skills: Python-based task orchestration, Azure Functions for event-driven architecture.

  • Database Management: Knowledge of Azure CosmosDB for document storage and hybrid search indexes.

Skills: NoSQL databases, CosmosDB, SQL, indexing/search techniques.

Frontend Development

  • React and Typescript Development: The frontend is built using React and Typescript, along with Vite for compiling the app.

Skills: React, Typescript, Vite, modern front-end frameworks, and front-end optimization.

  • Web Integration with Backend APIs: Ensuring smooth communication between the Python-based backend APIs and the Typescript frontend.

Skills: API integration (REST), state management in React (e.g., Redux or context API).

  • Web Security: Securing the frontend application, especially considering integration with Azure AD for user authentication.

Skills: OAuth, JWT, authentication mechanisms using Azure AD.

AI Engineering

  • Handling Data for AI Models: Expertise in managing and processing data for use with AI models, including managing large text datasets, embeddings, and hybrid indexing.

Skills: Text embeddings, vector databases, knowledge of AI models for search (sentence transformers, OpenAI models).

  • LLM Integration & Fine-tuning: Fine-tuning or configuring models like GPT for specific tasks within the Azure ecosystem.

Skills: Azure OpenAI models, language model fine-tuning, embedding generation, hybrid search integration.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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