OpenAI Jobs

I have a fully-designed site sitting on and a domain already registered with Hostinger. First, I need the DNS configured so the site resolves cleanly on my custom URL with an active SSL certificate and no downtime. Once the site is live, I want to move straight into phase two: creating a bespoke AI agent that will take over much of our day-to-day marketing and front-line sales work. The agent should: • Run email campaigns end-to-end—from list import, segmentation and personalised copy generation to scheduling, sending and basic analytics. • Manage our social media presence with auto-generated posts, simple scheduling and performance tracking. • Proactively search for suitable prospects, initiate outreach, nurture conversations and, where possible, close the deal...

AI SaaS Builder for GEO Tracking Tool MVP Looking for a high-speed AI SaaS Developer / Automation Architect to build an MVP for a "Generative Engine Optimization" (GEO) platform. The Product: A tool that monitors brand visibility across LLMs (ChatGPT, Perplexity, Gemini). The tool will track prompts, analyze mentions, and identify citation sources. Tech Stack (Non-negotiable for speed): - Frontend: (App Router), Tailwind CSS, Shadcn/UI - Backend/Database: Supabase (Auth & DB) - AI Orchestration: Perplexity API (for real-time citations) & OpenAI API (for analysis) - Deployment: Vercel Key Features to Build in Phase 1: - User Dashboard: Clean, dark-themed UI showing "AI Visibility Score" - Prompt Manager: CRUD for tracking specific queries - Automated Scanner...

I’m building a self-serve, AI-driven help desk and need a specialist who can turn ChatGPT into a friendly, always-on support agent. The focus is narrow and clear: generate accurate, conversational chat responses that feel genuinely helpful rather than scripted. Here’s what I have so far: • A knowledge base containing product documentation and common troubleshooting steps (Markdown and PDF). • Access tokens for OpenAI and our live-chat platform (Zendesk Chat, but I can switch if you recommend a better fit). • A rough list of recurring questions pulled from the last six months of transcripts. What I’m missing—and what I’d like you to deliver—is a refined prompt-engineering workflow that teaches ChatGPT how to: 1. Detect intent from incomin...

I’m building a self-serve, AI-driven help desk and need a specialist who can turn ChatGPT into a friendly, always-on support agent. The focus is narrow and clear: generate accurate, conversational chat responses that feel genuinely helpful rather than scripted. Here’s what I have so far: • A knowledge base containing product documentation and common troubleshooting steps (Markdown and PDF). • Access tokens for OpenAI and our live-chat platform (Zendesk Chat, but I can switch if you recommend a better fit). • A rough list of recurring questions pulled from the last six months of transcripts. What I’m missing—and what I’d like you to deliver—is a refined prompt-engineering workflow that teaches ChatGPT how to: 1. Detect intent from incomin...

This project entails building a generative-AI web application that runs entirely on OpenAI GPT and delivers a smooth, real-time, text-based chat experience. The frontend must be responsive so users on desktop or mobile feel no friction, while the backend handles dynamic prompts, keeps short-term conversational context, and lets me fine-tune how the model responds. Core functionality • Secure user authentication (log in / sign-up) • Drag-and-drop or button-based file sharing inside the chat window • Conversational memory so the AI remembers context during a session and resets cleanly when required Behind the scenes the app should: • Call the OpenAI GPT API efficiently, batching or streaming tokens where it makes sense to keep latency low • Store transien...

We are looking for an experienced AI/Backend Engineer (or small team) to help design and implement a foundational setup for an enterprise “Agentic AI” goal is to enable a prompt-based interface where business users can ask questions and trigger actions across internal risk management and document systems through a governed API layer. This is NOT a chatbot UI project focuses on backend architecture, AI orchestration, and secure enterprise integration. Target application includes IBM OpenPages SaaS (GRC) accessed via REST APIs. The first phase will implement a proof-of-concept that allows an AI agent to retrieve and update structured records using approved APIs via a secure middleware service. Scope of Work (Phase-1: Foundational Setup) Build a secure middleware API servic...

Project Overview We are looking for a developer to build and integrate a professional AI chatbot for our platform, Proxima Study. The goal is to allow students to ask questions on the front-end and receive answers generated by leading AI models (ChatGPT and Gemini) through a secure back-end bridge. Scope of Work Chat Interface (Front-end): A clean, user-friendly chat bubble/window on our website where students can type questions. It must support "streaming" (where text appears word-by-word) so users aren't waiting on a loading screen. The Bridge (Back-end): Develop a secure middleman (API) that takes the student’s question, sends it to OpenAI or Google Gemini, and brings the answer back to the website. AI Logic: Set up the system so I can easily toggle which AI mode...

I’m searching for production-ready AI agents I can roll out across several verticals—specifically Healthcare, Real Estate, E-commerce, Blockchain, Crypto, and Social Media. Each solution must already be live somewhere so I can see it operating in real time before we move forward. The core requirements are straightforward: the agent needs to run in a browser, accept its own knowledge base or document set for context, and ship with source code plus clear documentation. I’m also expecting help getting the code stood up in a SaaS or on-prem environment. I’m flexible on architecture; whether you built it around OpenAI, Claude, Llama, FastAPI, Node.js, Pinecone, FAISS, or Weaviate doesn’t matter as long as it performs reliably at scale. To keep things simple, here...

I’m searching for production-ready AI agents I can roll out across several verticals—specifically Healthcare, Real Estate, E-commerce, Blockchain, Crypto, and Social Media. Each solution must already be live somewhere so I can see it operating in real time before we move forward. The core requirements are straightforward: the agent needs to run in a browser, accept its own knowledge base or document set for context, and ship with source code plus clear documentation. I’m also expecting help getting the code stood up in a SaaS or on-prem environment. I’m flexible on architecture; whether you built it around OpenAI, Claude, Llama, FastAPI, Node.js, Pinecone, FAISS, or Weaviate doesn’t matter as long as it performs reliably at scale. To keep things simple, here...

We would like to create a platform where our technicians can query an AI chat about status of different areas of our network. We have several different data repositories, (PostgreSQL, clear-text log files, InfluxDB, etc..) We had used chatgpt to help build this initial system, and it was rather easy and worked quite well. Everything fell apart though as we attempted to expand the system for full production use).

I’m looking to embed an AI-powered tutor directly into our internal web portal so children can ask homework questions and receive clear, age-appropriate guidance 24/7. The chatbot will be available only on the website—no mobile or social integrations are needed right now—and its single focus is Homework Help rather than full interactive lessons or long-term progress tracking. The experience I’m aiming for feels like a friendly subject-matter coach: the bot should recognise the child’s grade level from the conversation, break problems into manageable steps, encourage the student to reason before revealing answers, and supply worked examples or hints instead of simply giving solutions. Safety is critical, so I need content filters, refusal handling, and basic s...

Summary: Development of a scalable web MVP for users to automate quote generation via voice input. The system must be designed from the outset to allow for rapid scaling to a large number of users (SaaS architecture). The development of a scalable web MVP for users to automate quote generation via voice input. The system must be built from the beginning to allow for rapid scaling to a large number of users. Experience in OpenAI API, PDF generation, and multi-language SaaS web applications is essential. Core Function (MVP Phase 1), Workflow 1. User records the quote or uploads an audio file. 2. Speech-to-text (OpenAI or alternative). 3. LLM converts text into structured JSON. 4. JSON is loaded into an editable quote form. 5. User can manually correct or add items. 6. Automatic ca...

I am developing a master’s-level research design that compares Retrieval-Augmented Generation (RAG) systems from an information retrieval and evaluation perspective. I am looking for someone that can help we out with helping and brainstorming the thesis design What I am looking for: - Refining research questions and comparison criteria for RAG systems - Structuring the theoretical and technical framework - Identifying and organizing key literature in RAG, IR, and LLM evaluation - Designing an evaluation approach (retrieval metrics, generation quality, cost/latency, robustness, etc.) Project context Domain: RAG / search systems / LLM pipelines Approach: system comparison + online comparison with systems Tooling: Python-based pipeline, API-driven LLM setup Required backgr...

I want a simple web app created. Functionality of the app is, User can upload an image and image will be sent to openAI with a predefined/hard coded prompt. once the response from openAI arrive, show it on a results page. Further, users can signup & signin and they will have simple dashboard app runs on image credit basis. 1 image credit equals to 1 image upload. New users get 1 free credit. paid users can purchase image credits as packages Users can select from 3 different packages essential, standard & extra. in essential package user pays $3 and he will get 3 image credits. in standard package user pays $5 and he will get 8 image credits. in premium package user pays $10 and he will get 20 image credits. link stripe as payment processor supabase as database system when...

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I need an n8n workflow that behaves like a smart sales agent, automatically engaging prospects and nurturing them until they are ready for my team. The core objective is to improve customer interactions specifically for sales and lead generation, so the automation must be able to capture incoming leads, qualify them with AI-powered prompts, and trigger personalized follow-ups. The stack is n8n at the center, paired with an LLM such as OpenAI or Claude for the conversational logic. Data should flow smoothly between the workflow, my CRM, and any outreach channels we decide to activate (email, social media, or on-site chat are all on the table). Although customer support and survey use-cases are not the priority right now, I want the structure to remain flexible enough to add them later wi...

AI SaaS Builder for GEO Tracking Tool MVP I am looking for a high-speed AI SaaS Developer / Automation Architect to build an MVP for a "Generative Engine Optimization" (GEO) platform. I have the vision, logic, and market access. I need you to build the engine and the dashboard. The Product: A tool that monitors brand visibility across LLMs (ChatGPT, Perplexity, Gemini). The tool will track prompts, analyze mentions, and identify citation sources. Tech Stack (Non-negotiable for speed): - Frontend: (App Router), Tailwind CSS, Shadcn/UI - Backend/Database: Supabase (Auth & DB) - AI Orchestration: Perplexity API (for real-time citations) & OpenAI API (for analysis) - Deployment: Vercel Key Features to Build in Phase 1: - User Dashboard: Clean, dark-themed UI showing &quo...

I need to design the workflow for an LLM orchestrator, integrating with various systems. It should call the customer master DB and policy admin to identify existing clients or handle new quotes. For new cases, I'll clearly differentiate based on line of business (P&C personal auto, commercial, travel, life Insurance) . I'll focus on setting up the necessary infrastructure, models, vector DB, middleware, and PoC milestones. Citations will be needed . I’ll ensure everything fits within the architecture, including tool-calling patterns and structured forms. Here’s a concrete, LOB aware architecture you can actually brief to a dev partner or internal team. I want to embed an end-to-end AI layer into my insurance website that can greet visitors, guide them through quo...

My goal is to push our Natural Language Processing stack forward by continually scouting, testing, and refining state-of-the-art models in three core areas: text generation, sentiment analysis, and machine translation. Scope of work — Track current research and emerging repositories (Hugging Face, arXiv, GitHub) to spot promising architectures and training techniques. - klaud8 / hrm ai / chat gpt / claude — Spin up controlled experiments in Python using PyTorch/TensorFlow, comparing baseline performance with fine-tuned variants on representative datasets. — Optimise inference speed, memory footprint, and prompt-engineering workflows so models transition smoothly from notebook to production API. — Document findings in concise experiment reports and integra...

I need an end-to-end AI assistant that first and foremost sweeps through years of email, automatically deciding what can be deleted, archived, or highlighted so my storage stops ballooning and my focus shifts back to real work. This inbox-cleanup engine is the absolute priority, so your proposal should open with how you will train, test, and safely deploy that module for major providers such as Gmail and Outlook. Once the email layer is solid, the same system must branch into the routine drudgery that clogs a workday: filling out repeat documentation, kicking off standard operating procedures, and nudging me when something has slipped. Think of it as an AI Ops Assistant—handling docs, reminders, and other predictable workflows without supervision. A built-in calendar is next on the...

I’m looking for a technical freelancer to design and implement a reliable ChatGPT automation system using the OpenAI API. The goal is to capture tasks, notes, and decisions via text or voice and automatically push them into my task system (Apple Reminders preferred, or a robust alternative). This is an automation and systems build, not prompt writing. Key requirements • OpenAI / ChatGPT API experience • Workflow automation (Zapier, Make, webhooks, or similar) • Structured outputs (JSON), error handling, and documentation • Mobile-first thinking (fast, low-friction use) Deliverable • Working automations • Basic documentation so I can maintain and extend it Nice to have • iOS Shortcuts or voice workflows • Productivity system experien...

Quiero poner en marcha un sistema de atención automática que combine los flujos visuales de con la potencia de OpenAI y con mi propio servidor en Hostinger como núcleo de datos y alojamiento de los webhooks. La meta es que cada consulta que llegue por WhatsApp se resuelva en segundos con la información más reciente de mi negocio, sin depender de servicios de terceros costosos. Alcance técnico • Flujos en conectados a OpenAI (chat-completion). • Webhooks alojados en mi cuenta de Hostinger que reciban y envíen datos a WhatsApp de forma segura (HTTPS + token), evitando cuellos de botella. • Base de datos en Hostinger (trabajo normalmente con MySQL allí) para que la IA consulte información del cliente, inven...