PersonaNet by Afterflea · 3 hours ago

Conversational AI Full-Stack Engineer (Unpaid Internship)

United States

Internship

Remote

Intern

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Responsibilities

AI Agent and RAG Model Development: Build AI agents and RAG models using leading LLM frameworks (OpenAI API, Langchain, Autogens) to enhance data processing and decision-making capabilities.

Building AI-Powered Applications: Develop applications powered by large language models (LLMs) in Python and JavaScript, focusing on scalability and robust functionality.

Backend RESTful API Development: Engineer scalable backend RESTful APIs using Flask and ExpressJS (Node.js) to ensure seamless data integration and real-time data handling.

Database Integration: Integrate complex databases (Pinecone, MongoDB) with applications, optimizing data storage and retrieval processes to support application needs.

Prompt Engineering: Apply prompt engineering techniques for AI models to improve the relevance and accuracy of responses in practical use-cases.

CI/CD with Google Cloud Platform (GCP) and Microsoft Azure: Deploy applications and manage project workflows using continuous integration and continuous deployment (CI/CD) techniques on Google Cloud Platform and Microsoft Azure, enhancing deployment efficiency and reliability, including the use of Microsoft Azure OpenAI API.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI Agent DevelopmentOpenAI APILangchainAutogensNode.jsPythonJavaCI/CD PipelinesGoogle Cloud ComputeMicrosoft AzureAPI DevelopmentFlaskExpressJSPrompt EngineeringDatabase IntegrationPineconeMongoDB

Required

Stable internet connection

Ability to work virtually

Preferred

Proficiency in AI Agent Development: Expertise in developing AI agents and retrieval-augmented generation (RAG) models using OpenAI API, Langchain, and Autogens.

Backend Technologies and Server-Side Languages: Strong understanding and experience in backend technologies such as Node.js, Python, and Java.

CI/CD Pipelines and Application Deployment: Skilled in creating and managing CI/CD pipelines on Google Cloud Compute and Microsoft Azure, including efficient deployment of applications.

API Development: Experience in defining API endpoints and creating backend handlers.