LLM Integration Jobs

I run an n8n-based AI video automation workflow that pushes finished clips to YouTube via the Data API v3 and logs every step in Google Sheets. A few links in the upload and scheduling chain have broken, and the VidIQ-style optimisation branch now needs a tidy-up. I’m looking for a quick, clean fix that leaves the whole flow running smoothly. What I need from you • Audit the current n8n workflow, locate missing or faulty node links, and restore full end-to-end uploads. • Repair the YouTube v3 scheduling logic so every video publishes on time with the right metadata pulled from Sheets. • Streamline the VidIQ-style logic so titles, descriptions, and tags are generated and passed correctly. • Apply the small UI tweaks shown in the provided design files to ke...

AI Engineer / AI Agent Architect – ERP Platform (Monolithic Java, MySQL, SaaS) We are developing a multi-tenant ERP platform currently built as a Java Spring Boot monolithic application with MySQL as the database and Angular as the frontend. While our long-term roadmap includes migration to microservices, the immediate objective is to safely introduce an AI-powered intelligence layer without disrupting the monolithic ERP core. Objective of the Role Design and implement an external AI intelligence layer that integrates with our existing monolithic ERP to provide: Business analytics and dashboards Predictive insights and forecasts Alerts, reminders, and anomaly detection Conversational ERP intelligence (AI Copilot) The AI must be ERP-aware, secure, tenant-isolated, and product...

Youtube data or arrangement and you can

We are a UAE-based construction company looking to start a gradual AI automation transformation. We are searching for an experienced AI automation specialist who can design and implement a scalable AI system for our company. This project will begin with Phase 1: • Email automation (Microsoft 365) • WhatsApp Business automation • Message classification (important / non-important) • Automatic tagging & routing • Daily executive summary • AI-based priority detection The long-term goal is to build a complete AI automation layer across our ERP, Asana, documents, and internal workflows. We are looking for someone who: • Has real experience with OpenAI API / LLM integration • Has built AI workflow automation systems before • Understands Whats...

RAG must be developed as an independent regulatory validation engine running after FINAL MERGE, using a closed-domain approach that operates only on uploaded official documents without external web search. It should run after final_merged_text is completed and Vision results are appended, connected from n8n only via a Side-Car API call. RAG must be deployed as a separate Docker container with a vector database in channel-specific namespaces already made in current workflow Input data should include final_merged_text and Vision tags, and RAG must not influence generation logic, only validate final outputs. The output must be a structured JSON validation report containing legal references, not just OK/NG. Because this is a closed-document RAG structure, it provides high accuracy and relativ...

RAG Engine Construction & Data Training Integration ​We have an existing n8n-based AI video automation system. The task is to develop the features listed below and ensure seamless integration with the current system. UI designs provided. ​Difficulty: Low / Estimated Time: 4–5 hours ​Scope: Review the existing design of the Google-based RAG engine for large document training. Modify and connect data pipelines to ensure seamless integration with downstream n8n workflows and UI/UX connections. ​[Mandatory Deliverable]: A Google Sheets-based manual including step-by-step screenshots, prompts, and configuration values (Video + Text). [Mandatory] tell me your portfolio related to this task. and Tell me price and timeline.

I’m building a retrieval-augmented generation (RAG) pipeline and need a specialist to stand up the vector database layer for my large-language-model workflow. All content going into the store will be purely textual—think markdown files, knowledge-base articles, and long-form documents—so the schema, chunking strategy, and embedding approach should be optimised for fast, accurate text search. Here’s what I’d like from you: • Recommend and deploy a production-ready vector database (Pinecone, Weaviate, Chroma, Milvus or a comparable option). • Design a text-specific embedding and metadata schema, including parameters such as chunk size, overlap, and namespace strategy. • Build ingestion scripts that batch-process my existing documents, generate em...

I’m evaluating security vulnerabilities in three Arabic-capable language models—Allam, Falcon, and Fanar—by running the Garak prompt-injection suite. My top priority is the technical implementation, with a particular emphasis on translating each of Garak’s 256 English attack prompts into clear, natural Arabic before the tests run. Here’s how the workflow looks: • Build a Python notebook that loads the three models from Hugging Face (PyTorch backend), pipes the Arabic prompts through Garak, captures logits and full responses, and writes everything to tidy CSV files. • Include bilingual testing so the notebook can toggle between the original English prompts and their Arabic counterparts, allowing side-by-side success-rate comparison. • P...

Title Microsoft Outlook / Graph API Developer for AI-Assisted Email Drafting Tool Description I am building a private productivity application that integrates with Microsoft 365 and uses modern language models to assist in generating email drafts. I’m looking for an experienced developer who can help design and implement an MVP with the following capabilities: • Authenticate users with Microsoft 365 • Access mail folders via Microsoft Graph • Retrieve email metadata (participants, dates, subjects, thread IDs) within user-defined folders and date ranges • Aggregate communications by contact • Provide structured context to an LLM • Create draft messages and save them to the user’s Outlook Drafts folder • Support insertion of deterministic c...