Mistral jobs

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...visitor opens the chat widget, the bot pulls the relevant context from our knowledge base, delivers an accurate answer, and—if confidence drops below an agreed threshold—hands the session to a live agent while passing the full conversation log. Low latency, clear fallback logic, and rock-solid data privacy are critical. Please include: • Production-ready REST or GraphQL endpoints backed by the Mistral LLM • A lightweight, embeddable JavaScript widget styled to match our site • Prompt design or fine-tuning routines so the bot understands both technical support and general enquiries • Conversation logging, basic analytics, and an admin toggle to update FAQs on the fly • Deployment scripts, environment variables template, and a short h...

...connected user and request answers from local AI service via APIs. However, a web interface (such as ChatGPT, Claude, ...) is required to make impromptu requests ----- Tests already completed ----- Regarding data read from PDFs and analysing it, much of preliminary tests were carried out using free online models/services, and the results were as follows: - GPT-4o fails - GPT-5-mini fails - Mistral fails - AI Studio (Google) OK - Deepseek-chat-3.2 fails - OK - OK ----- Budget ----- Please, no ask me «what is your budget for this project?» Bonuses provided at the end of the project for compliance with the timing and quality of the results. No upfront. No payment before successful completion of all final test. The proposal must cover the entire project,

...Responsibilities ### L4 Technical Advisory * Act as the highest escalation point for complex AI/ML platform issues. * Provide expert architectural guidance and advanced troubleshooting support. * Serve as a trusted advisor to client technical leadership on AI/ML platform strategy and architecture. ### Vulnerability Management * Monitor security advisories from Red Hat, NVIDIA, Dell, , Mistral AI, and other technology partners. * Analyze security risks, recommend remediation strategies, and coordinate vulnerability resolution activities. * Ensure critical vulnerabilities are addressed within defined SLAs. ### Release Management * Evaluate vendor software releases for compatibility with the existing AI platform ecosystem. * Define release readiness criteria, rollback strategi...

...Cases for Engineering, Technical Documentation, Tendering & Pre-Sales 8. Prompt Engineering & AI Workflows 9. Microsoft Copilot, Azure OpenAI & Enterprise AI Platforms 10. Hands-On Demonstration and Q&A **Trainer Requirements** * Strong expertise in LLMs and Generative AI * Experience building or deploying custom/private AI solutions * Knowledge of Azure OpenAI, Microsoft Copilot, OpenAI, Llama, Mistral, and RAG architectures * Corporate training experience preferred Please share your profile, previous training experience, approach, availability, and commercial proposal....

...AI agents, and applied generative AI. ## Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, Statistics, Engineering, or a related field. * 2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Haystack, or similar. * Good understanding of machine learning, NLP, model evaluation, and data preprocessing. * Ex...

...AI agents, and applied generative AI. ## Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, Statistics, Engineering, or a related field. * 2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Haystack, or similar. * Good understanding of machine learning, NLP, model evaluation, and data preprocessing. * Ex...

...Perplexity-style AI Chatbot built using the MERN Stack! Over the past few weeks, I developed a full-stack AI-powered search and chat platform that combines conversational intelligence with real-time web information retrieval. Tech Stack: • MongoDB, , React.js, Node.js (MERN) • SASS for responsive and modern UI design • Google Gemini API for generating intelligent conversational responses • Mistral API for dynamic website/content generation • Tavily Search API for fetching real-time internet updates and current information Key Features: AI-powered conversational interface Real-time web search integration Context-aware responses Dynamic content generation Clean and responsive user experience Full-stack architecture with scalable backend APIs This...

...* A short handover session or technical walkthrough. ## Required Skills Please apply only if you have experience with most of the following: * **Hexabot AI** — required * Node.js / TypeScript * NestJS or similar backend frameworks * WhatsApp Business API or Twilio WhatsApp API * Google Drive API * Wiki platforms and API integrations * RAG implementation * LLM APIs such as OpenAI, Anthropic, Mistral, or similar * Vector databases * Docker / Docker Compose * REST APIs and webhooks * Background jobs and scheduled workflows * Good documentation practices ## Nice to Have The following experience would be a plus: * Prior experience building AI support bots. * Experience with multilingual chatbots. * Experience with self-hosted AI/chatbot platforms. * Experience developing H...

...to set it up and support clients confidently. The end users are small accounting firms (3–20 staff) who handle sensitive financial data and cannot use cloud AI tools for compliance reasons. What I need from you: Build a pre-configured local AI package I can deploy repeatedly at different client sites with minimal technical steps Choose and configure the right open-source model (e.g. Llama 3, Mistral, Phi-3) for accounting-related tasks Make it usable for non-technical accounting staff — simple interface, no command line Document everything clearly — step-by-step install guide written for a non-developer Coach me via video calls so I understand what I'm installing, can troubleshoot common issues, and can answer basic client questions Be available in the ...

...content from my site and other approved sources • hold live discussions with the user • provide thoughtful, Biblically grounded insights when the conversation turns to Christian topics • scale gracefully so I can add additional skills later BACKEND CONSTRAINTS My priority is to keep monthly spend close to zero. I am therefore leaning toward open-source or very low-cost models (e.g. Llama 3, Mistral, Ollama, LocalAI) running on my own VPS or a lightweight managed service. If you can demonstrate that a small-tier commercial plan (Gemini Pro Lite, OpenAI 3.5 free quota, etc.) fits the cost target, I am open to it, but the default should be free/open. TECH STACK FACTS • Current agent: Python command line • Repo includes basic vector-store retriev...

...experience designing and building agentic, multi-agent systems that can perform reasoning and planning using frameworks such as LangChain, LangGraph, CrewAI, or similar. Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI). Cloud AI Platforms: Experience with AI/ML services on any major cloud platform (Vertex AI, SageMaker, Azure ML). Preferred Skills Cloud-Native Systems: Experience building scalable systems using Docker, serverless, and managed cloud services. API & Backend Engineering: Experience in API...

...Proven experience designing and building multi-agent systems capable of reasoning and planning using frameworks such as Lang Chain, Lang Graph, Crew AI, or similar. Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as Py Torch, TensorFlow, and Scikit-learn. Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI). Cloud AI Platforms: Experience with AI/ML services on major cloud platforms such as Vertex AI, SageMaker, or Azure ML. Preferred Skills Experience building scalable cloud-native systems using Docker, serverless architectures, and managed cloud services. Strong API and backend engineering experi...

Project Overview This project focuses on building: LLM-powered systems that take actions, not just generate outputs Autonomous agent architectures that interact with tools, APIs, and data pipelines A scalable AI system capable of real-world execution and decision-making What You’ll Be Building LLM-powered applications (OpenAI, Anthropic, LLaMA, Mistral) RAG pipelines (retrieval, hybrid search, re-ranking) Agent systems using LangChain / LangGraph Tool-use systems (API integrations, external tools) Data ingestion + retrieval pipelines Monitoring, logging, and evaluation systems Key Responsibilities Architect and develop scalable AI systems Design and optimize RAG pipelines Build and manage multi-agent workflows Improve latency, cost, and performance Implement evaluation fra...

...Implement local AI model for offline usage * Fine-tune model for: - school-level explanations - bilingual support (English + regional language) - curriculum-bound responses * Build APIs and backend for integration with classroom system * Develop synchronization system (offline → central server) * Provide documentation and training Technical Requirements * Experience with LLMs (LLaMA, Mistral, etc.) * Experience with RAG frameworks (LangChain / LlamaIndex) * Vector databases (FAISS / Qdrant / Chroma) * Local AI deployment (Ollama / ) * Python backend (FastAPI preferred) Deliverables * Fully functional AI engine (offline capable) * Documentation * Deployment support * Training for internal team Preferred Experience * EdTech AI systems * Multilingual AI systems * O...

...source material. I need a freelancer to set this up remotely on my machine. I will provide remote access (AnyDesk / TeamViewer / Chrome Remote Desktop) and full cooperation throughout. Scope of work 1. Install and configure Ollama. Pull and verify three models: qwen2.5:14b, mistral, nomic-embed-text. Confirm Metal GPU acceleration is active. 2. Install Kotaemon from the official GitHub release installer. Change default credentials. 3. Connect Kotaemon to local Ollama: register Qwen 2.5 14B as primary LLM, Mistral as secondary, and nomic-embed-text as the embedding model. Configure and test hybrid (BM25 + vector) search. 4. Create a dedicated project workspace inside Kotaemon. Run a sanity-test index on 50 sample files and verify highlighted-passage citations work end t...

Multi-tenant RAG SaaS. Python/FastAPI, , Supabase/pgvector. Full client isolation via Row Level Security. Per-tenant config set in admin panel: - AI mode: Cloud (Claude API), Local (Ollama/Mistral on client infra), or Hybrid (operational docs via cloud, sensitive docs flagged by category to local). Mode switch takes effect immediately, no redeploy. - Connectors: toggle OneDrive, Gmail, Outlook, Slack, WhatsApp per tenant. Each stores its own OAuth credentials encrypted. - Branding: logo initials, accent colour, company name, subdomain. - User roles per tenant: admin, analyst, viewer. - Pipeline confidence threshold per tenant (default 0.80). Six-phase pipeline: ingest, acquire (OCR/Whisper/pdf-parse), classify, extract entities, summarise, embed (pgvector). Routing logic: if mode=...

# THE ORIGIONAL PROPOSAL I’m looking for a practitioner who can take the open-source dystopiabench suite and run it end-to-end on a collection of models—Opus, GLM, MiniMax, GPT, Codex Gemini, Pro Qwen, Grok, Kimi, DeepSeek, and Mistral—first in their vanilla form and then again with my open-source guardrail prompt, AGIBIOS, prepended to every request. The core question is simple: does AGIBIOS meaningfully reduce failure rates when the benchmark tries to nudge a model, step by step, toward unethical outcomes? For this round I’m interested only in the “Ethical decision making” scenarios; dystopiabench already contains the probes. Scope of work • Set up or containerise dystopiabench and confirm it runs reproducibly. • Integrate AG...

I’m taking a proof-of-concept Generative AI system into full production and want a senior engineer who has already solved the real-world problems this move uncovers. The stack is centred on Amazon Bedrock, where we are actively working with Claude 3, Titan, Llama 3 and Mistral. Your track record should show that you have wired those or comparable foundation models into live workloads before. Our orchestration layer relies on LangChain working hand-in-hand with LlamaIndex, Bedrock Agents and a set of custom integrations, so fluency with that trio is essential. Everything is written in modern Python (3.9+), surfaced through API Gateway, executed in Lambda and coordinated with Step Functions. Vector databases drive our semantic search, while Glue and Athena sit behind a serverle...

...quantization and optimization for cost-efficient deployment Hosting and deployment options (cloud, APIs, inference servers) Dataset creation and data annotation pipelines How small teams can build AI startups using existing models Monetization strategies (APIs, SaaS, datasets, AI services) Guidance on building MVPs and scaling AI products Preferred Background Experience working with LLMs (LLaMA, Mistral, HuggingFace models, etc.) Knowledge of model quantization, inference optimization, and deployment Experience with ML/Deep Learning product development Familiar with AI startup ecosystem Preferably based in India or familiar with the Indian AI market Technical Areas of Interest Hugging Face ecosystem Transformers and model fine-tuning LLM inference frameworks (vLLM,...

...offline, self-hostable AI models Architect and develop a scalable backend system for AI workloads Create end-to-end AI pipelines optimized for performance and scalability Integrate third-party APIs and AI services where required Collaborate closely with product and engineering teams to turn ideas into working solutions Required Skills & Experience Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.) Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.) Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models) Knowledge of speech systems (TTS, STT, STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend developmen...

Summary We are in the process of establishing an AI Lab and require assistance with the hardware setup of a desktop computer. Our team is encountering issues with configuration and setup. We are seeking an experien...can not see any output either through the HDMI or Display port. I have tried ports on both the mother board and no the GPU. Expected Outcomes 1. Resolution of setup issue 2. Installation of Ubuntu 3. Setup of software for the fans, update of the BIOS and GPU 4. Optimization of the setup for an AI rig. Purpose We are building an agentic system design to leverage open source LLMs such as Mistral or other LLMs using open source solutions. Integrations with Frontier solutions will also be used but as edge cases. This computer will be the first of several to build thi...

I am looking for an experienced AI/ML developer to build a ChatGPT-like chatbot without using OpenAI or any external API. Requirements: Use an open-source LLM (such as LLaMA, Mistral, or similar). The model must be hosted on my own server (VPS or dedicated server). Web-based interface (chat UI). Ability to fine-tune or train on custom data (optional but preferred). Secure and optimized performance. Technical expectations: Python (FastAPI / Flask) or Node.js backend. Experience with Hugging Face / Transformers. Knowledge of GPU deployment (preferred). Please include: Previous AI/LLM projects. Recommended model and hardware requirements. Estimated server specs (RAM, GPU)

...model directly on my own machine so I can serve a real-time chatbot embedded on my website. I have the hardware available but need an expert who can install the model, configure all dependencies, and expose an endpoint that my front-end widget can call. Here is what I have in mind: • Select and download an open-weight GPT-like model that can reasonably run on local hardware (e.g., Llama-2, Mistral, or another suitable alternative). • Set up the execution environment—Python, CUDA, PyTorch or TensorFlow—plus any supporting libraries (LangChain, FastAPI, uvicorn, etc.). • Create or refine an inference script that keeps response times low enough for smooth chat. • Build a lightweight API (REST or WebSocket) so the website can pass the user&rsq...

...laptop, Raspberry Pi, or a high-end tablet) without needing an internet connection. * Custom Knowledge Base (RAG): I will provide a large volume of PDFs, textbooks, and curriculum documents. The developer must implement a Retrieval-Augmented Generation (RAG) system to ensure the AI answers strictly based on this material. * Local LLM Integration: Use efficient open-source models (like Llama 3, Mistral, or Gemma) that are optimized for local use (quantized versions). * User Interface: A simple, student-friendly interface (Web-based local UI or Desktop App) where students can type questions and get instant feedback. * Scalability: The ability to easily add or update the curriculum folders. Technical Preferences (Suggested) * Backend: Python (LangChain or LlamaIndex) * Model M...

...laptop, Raspberry Pi, or a high-end tablet) without needing an internet connection. * Custom Knowledge Base (RAG): I will provide a large volume of PDFs, textbooks, and curriculum documents. The developer must implement a Retrieval-Augmented Generation (RAG) system to ensure the AI answers strictly based on this material. * Local LLM Integration: Use efficient open-source models (like Llama 3, Mistral, or Gemma) that are optimized for local use (quantized versions). * User Interface: A simple, student-friendly interface (Web-based local UI or Desktop App) where students can type questions and get instant feedback. * Scalability: The ability to easily add or update the curriculum folders. Technical Preferences (Suggested) * Backend: Python (LangChain or LlamaIndex) * Model M...

...citations (document name, excerpt, date, author) Shows confidence level and “as-of” timestamp Developing a simple web UI (FastAPI/Django + React or similar) Using open-source/local LLMs (Ollama, vLLM, etc.) Enforcing security and role-based access (basic level) Preferred Tech Stack (Flexible) Python LangChain or LlamaIndex FAISS or Qdrant PostgreSQL / SQLite FastAPI or Django Local LLMs (Mistral, Llama, etc.) React / simple frontend Deliverables Working chatbot web application Ingestion pipeline scripts Vector search + citation system Documentation for setup and deployment Sample queries and test cases Source code in GitHub repository Who Should Apply We are looking for someone who has: Built chatbot or RAG applications before Experience with do...

...for: designing the AI architecture implementing a robust RAG pipeline ensuring traceability, source integrity, and answer reliability supporting the transition from POC to production You will work directly with the product owner (business + regulatory background). Required Skills Strong Python (production-level) Hands-on experience with LLMs: OpenAI / Azure OpenAI and/or local models (LLaMA, Mistral) RAG architectures: embeddings, chunking strategies, retrieval tuning vector databases (FAISS, Qdrant, Weaviate, Pinecone) Document processing: PDFs, OCR, regulatory texts Prompt engineering + response evaluation FastAPI (or similar) Git, Docker Nice to Have Experience with regulatory, legal, pharma, compliance, or financial documents AI Agents / workflow orchestration Private /...

...• Viral hook finder • Script analysis • Recreate style prompts • Hashtag generator • Thumbnail prompt generator TECHNOLOGY STACK REQUIRED Backend • Python FastAPI • LangChain for orchestration • Redis + Celery for tasks • FFmpeg • yt dlp • Whisper STT Frontend • React / OR • Flutter (Mobile App) LLM (Hybrid API Setup) Primary (Fast + Low Cost) • Groq Cloud LLMs o LLaMA 3 o Mixtral o Mistral Secondary • DeepSeek Coder API • OpenAI mini models (optional backup) Image/Video Models • SDXL (Stable Diffusion XL) • Replicate API (optional) • FFmpeg for video processing Search APIs • Brave Search API • Bing Web Search API Vector Database (Memory/RAG) • FAISS (recommended) &bul...

...cost visibility Security-first thinking ** Who We’re Looking For We are open to individual freelancers or small teams with strength in one or more of the following areas: >Backend / Platform Engineering API design (Node / Python / Go) Scalable systems & clean architecture Experience with AI integrations is a strong plus > AI / LLM Engineering Experience working with AI APIs (OpenAI, Anthropic, Mistral, etc.) Prompt systems, routing logic, cost optimization Practical mindset (not research-only) > UI/UX Designers Ability to design complex systems with simple interfaces Product thinking > flashy visuals Experience with SaaS dashboards preferred > Content / Product Storytelling (Later Phase) Ability to translate deep tech into clear messaging Website, onboard...

...cost visibility Security-first thinking ** Who We’re Looking For We are open to individual freelancers or small teams with strength in one or more of the following areas: >Backend / Platform Engineering API design (Node / Python / Go) Scalable systems & clean architecture Experience with AI integrations is a strong plus > AI / LLM Engineering Experience working with AI APIs (OpenAI, Anthropic, Mistral, etc.) Prompt systems, routing logic, cost optimization Practical mindset (not research-only) > UI/UX Designers Ability to design complex systems with simple interfaces Product thinking > flashy visuals Experience with SaaS dashboards preferred > Content / Product Storytelling (Later Phase) Ability to translate deep tech into clear messaging Website, onboard...

...the "nervous system" of our agents, ensuring they can reason through non-deterministic environments while maintaining deterministic reliability. Technical Stack Language: Python (Expert level required). Frameworks: LangGraph, CrewAI, or LangChain (Stateful orchestration experience is a must). LLMs: Deep experience with GPT-4o, Claude 3.5 Sonnet, and fine-tuning open-source models (Llama 3/Mistral). Integrations: Shopify API, Stripe API, AWS Lambda, and Pinecone/Milvus for Vector memory. Infrastructure: AWS (Compute optimization for high-inference loads). What You Will Be Doing Architecting Multi-Agent Flows: Designing state-machines that allow agents to "handoff" tasks to one another (e.g., a Support Agent handing off a logistical error to an Operati...

...offline, self-hostable AI models Architect and develop a scalable backend system for AI workloads Create end-to-end AI pipelines optimized for performance and scalability Integrate third-party APIs and AI services where required Collaborate closely with product and engineering teams to turn ideas into working solutions Required Skills & Experience Strong experience with LLMs (OpenAI, LLaMA, Mistral, Gemma, etc.) Hands-on experience with RAG frameworks (LangChain, LlamaIndex, Haystack, etc.) Experience in OCR & Vision (Tesseract, OpenCV, Vision Transformers, multimodal models) Knowledge of speech systems (TTS, STT, STS) Experience in LLM fine-tuning, quantization, and model optimization Ability to deploy self-hosted / offline AI models Strong backend developmen...

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...as a structured business problem. It plans the work, executes tasks methodically, reviews outputs for accuracy and compliance, and continuously monitors for risk—mirroring how a competent human team would operate inside an organization. Built specifically for enterprises with strict data governance requirements, Perseus runs 100% on-premise using local large language models such as LLaMA and Mistral. No data leaves the organization’s infrastructure, eliminating dependency on external AI providers and ensuring full data sovereignty. This makes Perseus suitable for regulated industries where confidentiality, compliance, and security are non-negotiable. At the core of Perseus is a multi-agent architecture that separates responsibilities across four specialized agents. ...

...assessment, competitive intelligence, and strategic bid decision-making, based on internal company data and curated competitor intelligence. We are looking to engage an experienced freelancer to design and build a Private Enterprise AI Decision Support System using existing LLM models (no model training from scratch). Scope of Work: Build a secure AI system using existing LLMs (GPT / Llama / Mistral, etc.) Implement RAG-based document intelligence over company data (financials, bank statements, tenders, work orders, certificates) Develop decision-support capabilities (bid/no-bid, eligibility analysis, financial insights) Create a competitor intelligence module to identify probable bidders and analyze historical bidding behavior Ensure data security and explainable outputs ...

I’m looking for an experienced tutor to teach me the basics and advanced concepts of AI, Generative AI (Gen AI), and Agentic AI through one-on-one sessions. The goal is to build practical skills, drawing from real-world projects (e.g., real-time voice assistants, self-healing agents, chatbots for fitness/health/finance, sentiment analysis, and integrations with tools like Azure OpenAI, Mistral/LLAMA, LangGraph, and Chroma). Sessions should cover: • AI & ML Basics: Core concepts, machine learning models, deep learning, NLP, computer vision, and tools like Python (pandas, scikit-learn, TensorFlow/Keras, NLTK, spaCy). • Generative AI: Building chatbots, RAG architecture, document intelligence, natural language interactions, and integrations with Azure OpenAI, Apa...

...assessment, competitive intelligence, and strategic bid decision-making, based on internal company data and curated competitor intelligence. We are looking to engage an experienced freelancer to design and build a Private Enterprise AI Decision Support System using existing LLM models (no model training from scratch). Scope of Work: Build a secure AI system using existing LLMs (GPT / Llama / Mistral, etc.) Implement RAG-based document intelligence over company data (financials, bank statements, tenders, work orders, certificates) Develop decision-support capabilities (bid/no-bid, eligibility analysis, financial insights) Create a competitor intelligence module to identify probable bidders and analyze historical bidding behavior Ensure data security and explainable outputs ...

...machine • Memory layer (short + long-term) • Booking / order flows • Automated follow-ups • Webhooks + retry logic • Multi-channel compliance (A2P, WhatsApp templates) ⸻ Reliability Layer • Freeze detection • Model fallback • Queueing • Logging + monitoring • High-volume throughput (100k+ msgs/day) ⸻ Ideal Candidate Must Have :heavy_check_mark: AI / LLM engineering (OpenAI / Anthropic / Mistral) :heavy_check_mark: Structured output, function calling :heavy_check_mark: Prompt engineering at scale :heavy_check_mark: Memory design :heavy_check_mark: Intent classification :heavy_check_mark: Backend engineering • FastAPI or Node • Redis / queues • Docker • Event-driven architecture • Scalable sys...

...platforms like or similar). We already possess a massive, cleaned and anonymised conversation dataset (tens of millions of real messages) that the freelancer will have full access to. Stage 1 – Working Flirty Chatbot (must be delivered first) A complete, production-ready chatbot API that can hold long, engaging, flirty conversations Uses an open-source LLM (Llama 3.1, Mixtral, Mistral, etc. – you choose the best) Runs completely uncensored or minimally censored so it can maintain the desired playful/sexy tone without refusals System prompt + personality engine so we can switch between different bot characters (playful, dominant, shy, intellectual, etc.) Fast response time (<1.5 s) even under load Deployed on cloud or dedicated servers (you propose the most cost...

...WhatsApp AI Engine Intent router Conversation state machine Memory layer (short/long-term) Booking/order flows Automated follow-up logic Webhooks + retry logic Multi-channel compliance (A2P, WhatsApp templates) 3. Reliability Layer Freeze detection Model fallback Queueing Logging + monitoring High-volume throughput (100k+ msgs/day) Ideal Candidate ✔ AI / LLM Engineering OpenAI / Anthropic / Mistral Structured output Function calling Prompt engineering at scale Memory design Intent classification ✔ Backend Engineering FastAPI or Node Redis / queues Docker Event-driven architecture Scalable systems Testing + monitoring First 14 Days Deliverables You must be able to deliver: Week 1 SMS + WhatsApp AI MVP State machine + intent router Memory layer v1 Webhook endpoints + test f...

...WhatsApp AI Engine Intent router Conversation state machine Memory layer (short/long-term) Booking/order flows Automated follow-up logic Webhooks + retry logic Multi-channel compliance (A2P, WhatsApp templates) 3. Reliability Layer Freeze detection Model fallback Queueing Logging + monitoring High-volume throughput (100k+ msgs/day) Ideal Candidate ✔ AI / LLM Engineering OpenAI / Anthropic / Mistral Structured output Function calling Prompt engineering at scale Memory design Intent classification ✔ Backend Engineering FastAPI or Node Redis / queues Docker Event-driven architecture Scalable systems Testing + monitoring First 14 Days Deliverables You must be able to deliver: Week 1 SMS + WhatsApp AI MVP State machine + intent router Memory layer v1 Webhook endpoints + test f...

...request that the supplier propose their preferred full-stack solution, detailing the key components and rationale. We are seeking a flexible, scalable, and modern architecture. 3.1. Proposed Technology Stack Please specify your proposed stack for the following components. While we encourage flexibility, reference examples include LangChain, LlamaIndex, RAGFlow, ,Minima, FAISS, ChromaDB, Llama 3, Mistral, etc. • Proposed Technology / Model • Justification (Performance, Multilinguality, etc.) • Document Parsing & Chunking • Multilingual Embedding Model • Vector Database (DBV) • Topic Modeling / Clustering Method • LLM (If used for generation) • Inference Server (for concurrency) 3.2. Architecture and Data Flow Please provide a high-level...

...sensors, pressure sensors Cameras & Audio 1–2 camera module interfaces (CSI/USB) Microphone input Speaker output Power System Stable power regulation for motors + logic Battery compatibility (12V/24V Li-ion) Over-current and thermal protection 2. Processing Unit Requirements (LLM Support) The system must support running local LLM inference, for example: Ollama models (7B or higher) Mistral 7B Falcon 7B Llama 3 8B Other optimized quantized on-device models This means the PCB should either: Option A: Integrate a powerful SoC module Examples: NVIDIA Jetson Orin Nano / Orin NX Raspberry Pi 5 + external NPU Orange Pi 5 Plus (16GB RAM) Khadas VIM4 or VIM3 Rockchip RK3588 boards Option B: Provide connectors to mount an SoC as the “brain” Su...

...based on their subscription tier. Admins can create unlimited AI Suites and Agents, connect them to external APIs, and control which suites are visible or live for users. Each AI Suite (Valuation, Compliance, Feasibility, etc.) will function as an independent module and support: ⦁ Web search + internal knowledge data ⦁ File uploads for contextual AI (RAG) ⦁ Multi-model AI calls (OpenAI, Gemini, Mistral, Anthropic) ⦁ PDF/DOCX report generation and download The goal is a secure, scalable, and modular microservice — where new agents or AI models can be added later without heavy rework. Note: Use a PingCRM-style Laravel + React (Inertia) setup, not Filament. The goal is an API-first, modular structure that stays flexible for future integration with our main Laravel + Angular...

...with semantic retrieval / RAG flow • Develop a simple frontend (React or equivalent) for viewing articles, scores, and chat • Integrate Stripe for subscription management • Add a lightweight admin and reporting module • Set up Docker environment and cloud deployment ⸻ Requirements • Proven experience in backend development (Python or Node.js) • Familiarity with AI APIs (OpenAI, Anthropic, Mistral, etc.) • Experience with databases (PostgreSQL, vector indexes a plus) • Understanding of REST or GraphQL APIs • Optional: frontend experience (React, , Tailwind) • Experience with Stripe or similar payment systems • Clean, well-documented code, GitHub workflow, English or German communication skills ⸻ Project Scope &a...

Looking for an experienced Python + AI Engineer to help design and build an Agentic AI system capable of automating key operational and decision-making tasks. The agent should be able to interact intelligently with structured/unstructured data, make contextual decisions, execute defined actions (e.g., sending...decision-making tasks. The agent should be able to interact intelligently with structured/unstructured data, make contextual decisions, execute defined actions (e.g., sending updates, summarizing reports, analyzing project data), and learn/improve over time. This project involves developing a modular, scalable AI agent framework using Python and integrating it with LLM APIs (e.g., OpenAI, Anthropic, Mistral, or similar), along with business data sources via API or database co...

I’m looking for an experienced Full-Stack Developer to build a web-based chat application that lets users interact with multiple AI models — such as GPT-4, Claude, Gemini, and Mistral — through a single, modern interface similar to ChatGPT. Create a clean, fast, and secure multi-AI chat platform where users can easily switch between different AI models and save their chat history — all in one place. • Chat interface with message history and model selector (GPT-4, Claude, Gemini, Mistral, etc.) • Backend integration with multiple AI APIs (OpenAI, Anthropic, Google, Mistral) • User authentication and account system (email or Google login) • Conversation storage in a secure database • Basic admin dashboard (v...

...modular AI Control Hub using a microservice architecture. Users will log in through our existing platform (OAuth) and access AI Suites (valuation, compliance, feasibility, etc.) based on their subscription status. Each suite will run as a lightweight Dockerized microservice and support: • Web search and internal data access • File uploads for contextual answers (RAG) • Multi-model AI calls (OpenAI, Mistral, Anthropic) • Report generation (PDF/DOCX) The goal is to create a secure, scalable, and easy-to-maintain system that allows future addition of agents with minimal changes. No placeholder bids are entertained. Please review the description and bid your final price. ________________________________________ • Core Modules 1. Core Platform (Laravel + Reac...

...fine tuned LLM works ### Phase 2: Full Implementation (Future) - **Objective**: Scale to complete command vocabulary - **Task**: Fine-tune models for comprehensive command generation - **Deliverables**: Production-ready model(s) with deployment infrastructure ## Phase 1 Requirements ### 1. Model Selection Test 3-5 of these models: - **Llama 3.1** (8B or larger) - **CodeLlama** (7B/13B) - **Mistral** (7B) - **Phi-3** (technical model) - **StarCoder** (code-focused) - **DeepSeek Coder** (alternative) ###Training Infrastructure - **Method**: Parameter-efficient fine-tuning (LoRA/QLoRA) - **Quantization**: 4-bit (NF4) for memory efficiency - **Dataset Size**: 20,000+ , 30,000+ instruction-output pairs - **Hardware**: Single GPU setup (A40/A100 class) (your choice - depending on...