We are seeking a skilled developer to create a trading bot that automates trading based on signals from a Discord channel. The bot should be able to execute trades on a MetaTrader 4 account using the MetaQuotes API. The ideal candidate will have experience in trading automation and Discord integration, with a strong understanding of algorithm development and MQL 4 programming.

We are seeking an Expert AI Automation Developer to design and implement a practical AI-enabled workflow that integrates with our existing Microsoft Excel and Access systems. Our current business processes rely on Excel workbooks, Access databases, VBA code, and structured operational data. We have already identified opportunities and a road map where AI could reduce manual work, improve data processing, and support better decision-making. The selected freelancer will be responsible for converting one of these opportunities into a reliable, production-ready solution. This is an implementation-focused engagement. We are not looking for a high-level AI strategy report or a generic chatbot. We need someone who can understand an existing business process, design the technical architecture, write the required code, integrate appropriate AI models or APIs, complete thorough testing, and deliver a maintainable automation system. Required Qualifications The ideal freelancer should have demonstrated experience with: 1. Microsoft Excel and Access automation 2. VBA development 3. AI model and API integration 4. Claude (Anthropic), ChatGPT (OpenAI), or comparable AI platforms 5. Structured AI prompting and reliable output generation 6. JSON parsing and API request handling 7. Relational databases and SQL 8. Workflow automation and business-process analysis Proposal Requirements Please include the following in your proposal: 1. Describe at least one project where you implemented AI automation for a business process and what the results of the project were. 2. The AI tools you would use for a project like this. 3. Your experience level with Excel, Access, and VBA

We are seeking a full stack physical AI engineer to develop intelligence systems for boats and other hardware. The role involves integrating AI with physical systems to enhance functionality and efficiency. The ideal candidate will have experience in both hardware and software development, with a strong understanding of AI technologies and their applications in real-world systems.

Looking for an expert developer to build a private, highly secure creative and financial workspace using the Google AI Studio / Gemini 1.5 Pro API. The absolute priority of this project is a 100% complete data migration. You will take a 6-week raw chat log containing precise financial checking/savings ledgers, business blueprints, and long-form biographical story notes, and ingest it flawlessly into a permanent vector database. You will connect this repository to the Gemini API so the system maintains permanent context retention across both a laptop and an Android phone without losing a single digit or syllable. Must deliver a clean, private, password-protected web interface that allows for seamless text dialogue, image uploads (for inventory tracking), and audio processing. Security, privacy, and flawless data retention are non-negotiable.

Interactive Brokers MES Automated Trading System Objective Develop a reliable automated trading application that trades Micro E-mini S&P 500 (MES) futures through the Interactive Brokers API. The application should run continuously and automatically submit the next order after the previous order has filled. ⸻ Broker * Interactive Brokers * Use IB Gateway or Trader Workstation (TWS) * Support both Paper Trading and Live Trading ⸻ Trading Instrument * CME Micro E-mini S&P 500 Futures (MES) * Automatically use the current active contract * Handle quarterly contract rollovers ⸻ Order Sequence The software should: 1. Submit Order #1. 2. Detect when Order #1 has completely filled. 3. Automatically submit Order #2. 4. Detect when Order #2 fills. 5. Submit Order #3. 6. Continue through up to four linked orders. The system must support both buy and sell orders in any sequence.

I'm looking for an experienced developer to build an AI-powered tenant operations system using Buildium, QuickBooks Online, Quo (OpenPhone), WhatsApp Business, Gmail, and Google Drive. The goal is to automate tenant communication so my property manager only handles emergencies, property visits, and cash rent collection.

We're Bizz Vital Clinic LLC, and we have an internal tool that lets our team upload financial documents (invoices, balance sheets, bank statements, reports) and ask questions about them. It's built on Python + FastAPI with OpenAI, LangChain, and ChromaDB, and it's already running. The problem is the PDF parsing. The text extraction isn't reliable, especially with tables and numbers. Rows get dropped, columns get scrambled, and some figures come out wrong. Since the parsed text feeds into our chunking and embeddings, bad parsing means bad answers, and with financial data, we can't have the numbers off. We don't need a rebuild. The rest of the app works fine. We just need someone to look at the parsing part, figure out what's going wrong, and fix it so extraction (including tables and numbers) is accurate. Stack: Python, FastAPI, OpenAI API, LangChain, ChromaDB, Docker What we need: - Review the current PDF parsing code - Find out why extraction is inaccurate - Fix it (open to switching libraries if needed: pdfplumber, PyMuPDF, Camelot, Unstructured, etc.) - Make sure tables and numbers come through correctly - Confirm the fix improves answer accuracy without breaking the existing pipeline It's a focused bug fix, but the codebase is fairly large, so you'll need to be comfortable working in existing code. When applying, please share: - A similar PDF parsing/data extraction problem you've handled before - A quick note on how you'd approach diagnosing this

# AI Voice Automation Developer Needed (n8n + Voice AI + API Integrations) I am looking for an experienced AI automation developer to build a production-ready workflow using n8n and a Voice AI platform (Retell AI, Vapi, or another comparable solution). The project involves creating an automated workflow that: * Receives lead information through a webhook or API. * Initiates an outbound AI phone call immediately after a lead is received. * Conducts a natural, conversational dialogue using a custom prompt. * Collects specific information during the conversation and accurately extracts structured data. * Sends the collected information back to n8n through a webhook. * Stores the structured data in Google Sheets (with the ability to expand to CRMs later). * Sends email and/or SMS notifications containing a summary of the conversation. * Includes transcripts and AI-generated summaries. * Has strong error handling, logging, and retry mechanisms. * Is modular and easy to duplicate for additional clients in the future. ### Required Experience Please apply only if you have experience with most of the following: * n8n * Voice AI platforms (Retell AI, Vapi, Bland AI, or similar) * OpenAI API * REST APIs and webhooks * Google Sheets API * Gmail and/or Twilio integrations * Prompt engineering for conversational AI ### Deliverables * Fully functional n8n workflow * Voice AI agent configuration * Complete API integrations * Documentation explaining the workflow * Simple onboarding process for new clients * Loom (or similar) walkthrough explaining the system When applying, please include: 1. Similar AI automation or voice AI projects you've built. 2. Which Voice AI platform you recommend and why. 3. Your estimated timeline. 4. Your fixed-price estimate for completing the project. I'm looking for someone who has built similar systems before and can create a clean, scalable solution rather than an experimental prototype.

We are looking for a skilled, hands-on AI Engineer to help us build and optimize our AI product. You will be responsible for designing the AI architecture, integrating modern LLMs/frameworks, and ensuring our AI pipeline runs efficiently, reliably, and accurately in production. Responsibilities Design, build, and deploy custom AI solutions (LLM integration, RAG, AI agents, or fine-tuning). Build robust prompt engineering pipelines, function-calling workflows, or structured output mechanisms. Implement vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) for semantic search and retrieval. Optimize latency, API costs, and context window efficiency across LLM providers (OpenAI, Anthropic, open-source models). Connect AI models to backend services via REST APIs / webhooks. Implement evaluation metrics (hallucination detection, retrieval accuracy, output validation). Required Skills & Qualifications Languages: Python (strong expertise required), TypeScript/Node.js (a plus). AI / ML Tooling: LangChain, LlamaIndex, AutoGen, CrewAI, or direct SDK integrations (OpenAI, Anthropic, Hugging Face). Databases: Vector databases (Pinecone, Chroma, Qdrant, pgvector) + relational/NoSQL DBs. Deployment & Cloud: Docker, AWS / GCP / Azure, FastAPI / Flask, Serverless architectures. Core Concepts: In-depth understanding of Embeddings, RAG, Fine-Tuning, Function Calling, and Agentic Workflows. Preferred (Nice to Have) Experience deploying open-source models locally or on dedicated hardware (vLLM, Ollama, Hugging Face TGI). Experience with fine-tuning techniques (LoRA, QLoRA). Background in frontend AI UI integration (Vercel AI SDK, Streamlit, Gradio).

I’m running a real estate investment platform called ToInvested.com. The project is about 90% finished, and most of the code was built with Claude together with another engineer. Now I need a senior engineer to step in, review the full product carefully, test every major workflow, and help verify that everything is working correctly before it goes live. This is not just a “write more code” role. I need someone who can look at the platform like a real product, find hidden bugs, catch weak logic, test edge cases, review the AI-generated code, and tell me honestly what is ready and what still needs fixing. Because this is a real estate investment platform, accuracy and trust matter a lot. Users may rely on property data, investment logic, calculations, and AI-driven insights, so even small issues can create a serious problem later. The ideal person has strong full-stack experience, understands AI-assisted development, and has a good testing mindset. Real estate tech experience would be a big plus, especially with property platforms, investment tools, marketplaces, mortgage systems, or financial workflows. My main goal is simple: I want someone to break the project before real users do. If you’re the kind of engineer who can take a nearly finished product, test it deeply, clean up weak areas, and help make it production-ready, I’d be happy to talk.