| Senior GenAI Developer and GenAI Developer :: Chicago, IL :: Contract at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Deeksha Rawat, kk Software Associates LLC [email protected] Reply to: [email protected] Position: Senior GenAI Developer and GenAI Developer Location: Chicago, IL Duration: 6-12 Months Below is a breakdown of the skill set needed to successfully build, deploy, and maintain an enterprise-level RAG application in Azure. Cloud Infrastructure & DevOps Azure Cloud Expertise: Understanding 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 vents, 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, and CosmosDB. RAG Application Knowledge: Experience building applications that use RAG to retrieve information and augment responses using 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 front 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. Keywords: continuous integration continuous deployment artificial intelligence active directory rlang Illinois Senior GenAI Developer and GenAI Developer :: Chicago, IL :: Contract [email protected] |
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| Fri Nov 01 20:58:00 UTC 2024 |