Mistral Jobs

...für Charakterverwaltung. Frontend-Avatar-Auswahl mit Live-Interaktion. Der Code soll sauber strukturiert, dokumentiert und auf GitHub übertragbar sein. Optional / Bonus Emotionserkennung aus Gesprächsverlauf (z. B. Sentiment Analysis über OpenAI). Speicherung des Gesprächsverlaufs in Supabase. WebSocket-Verbindung für niedrige Latenz. Integration mehrerer Sprachmodelle (OpenAI, Gemini, Mistral etc.). Erwartete Skills Erfahrung mit Live2D, , TypeScript / JavaScript Erfahrung mit OpenAI / ElevenLabs Realtime APIs Kenntnisse in WebRTC / Audio-Streaming Erfahrung mit Supabase / Postgres / Cloud Functions (Optional) Kenntnisse in Framer Motion, , Vercel Deployments Lieferumfang Vollständiger Sourcecode (Frontend + Backend) Installatio...

...Datenlage: Ca. 1.000 + E-Mail-Konversationen im .msg-Format (Deutsch, mit Bildern im Anhang) (insgesamt 19GB) Keine strukturierte Klassifizierung von Fehlern vorhanden (nur Freitext in E-Mails) Keine externen APIs erlaubt → rein lokale Verarbeitung (On-Premise Server) Anforderungen: Erfahrung mit Computer Vision (z. B. YOLO, CNN) Erfahrung mit NLP/Textgenerierung auf Deutsch (z. B. GPT, T5, LLaMA, Mistral, RAG) Fähigkeit, Open-Source-Modelle lokal zu betreiben (z. B. via Docker) Idealerweise: Verständnis von MLOps oder Erfahrung im industriellen Kontext Sehr gute Deutschkenntnisse (Verstehen & Generieren) Ziel: Ein Prototyp oder Proof of Concept mit folgenden Komponenten: Bildanalyse-Modul zur Erkennung und Klassifizierung von Fehlern Modul zur automa...

...based on Large Language Models (LLMs). The goal is to create a locally deployable LLM system (on-premise), PRE-TRAINED in the financial domain (Mistral, FinBERT, Bloom, FinGPT, BloombergGPT, ...), capable of learning from internal documentation (Intranet) and prioritizing this internal information. The environment is Windows Server 2019 with the ability to run virtual machines. Ensure the system operates fully offline, independent of any external cloud services. NO PLACEHOLDERS Responsibilities: - Evaluate and select the most suitable open-source LLM for a Windows server environment and specific financial needs (DeepSeek is preferred, then Mistral 7B). - Design and implement the architecture for on-premise LLM installation, ensuring complete independence from ext...

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...

...(A2P, WhatsApp templates) 3. Reliability Layer Freeze detection Model fallback Queueing Logging + monitoring High-volume throughput (100k+ msgs/day) Required Deep Experience (Non-Negotiable) If you don’t have these, you won’t pass the first call: Twilio Programmable Voice Media Streams Webhooks SMS / A2P WhatsApp Cloud API Call flows Real-time audio 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 endpoi...

...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 ...

...(A2P, WhatsApp templates) 3. Reliability Layer Freeze detection Model fallback Queueing Logging + monitoring High-volume throughput (100k+ msgs/day) Required Deep Experience (Non-Negotiable) If you don’t have these, you won’t pass the first call: Twilio Programmable Voice Media Streams Webhooks SMS / A2P WhatsApp Cloud API Call flows Real-time audio 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 endpoi...

...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...

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...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...

...documentos, generar texto, imágenes y PDFs. Trabajar sin conexión (modo local) con un modelo tipo Llama 3 o Mistral. Tener memoria controlada (guardar, borrar, listar). Crear folletos, informes y plantillas con diseño institucional (blanco, dorado, negro). Generar imágenes simples y QR, y exportar todo en ZIP o PDF HD con sangrado 3mm. Requiero que el sistema tenga interfaz tipo chat (Kaia) con 3 modos: Preciso (técnico) Creativo (publicitario) Simbólico (vibracional / conceptual) Debe correr en Windows y Mac, con instaladores, y mantener todos los datos privados y locales. Stack sugerido: Frontend: + Tailwind / Electron Backend: FastAPI (Python) IA local: Ollama (Llama 3 o Mistral) PDFs: ReportLab o WeasyPrint Embe...

...and allow customization of LLM models, transcribers, voices, and custom business logic functions. ⸻ 2. Core Components 2.1 Agent Builder Interface A web-based UI where users can create and configure their own AI voice agents. Features: • Agent Creation Flow • Agent Name, Description • System Prompt / Persona setup • LLM Selection • Options: e.g., OpenAI GPT models, Anthropic Claude, Mistral, local LLMs, etc. • Configuration: Temperature, Max Tokens, API Keys (user-provided or system) • Transcriber Selection • Available transcribers: e.g., Whisper, Deepgram, AssemblyAI, , etc. • Config options: language, accuracy vs latency, etc. • Voice Model Selection • Voice Providers: e.g., ElevenLabs, , OpenAI TTS, Azure V...

...to customer queries Extract orders/leads from chats Forward or summarize in dashboard 4. Social Media Inbox Management Facebook, Instagram, Telegram, X, LinkedIn AI sorts & flags messages auto-reply or CRM sync 5. Smart Calendar & Scheduling Google & Outlook Calendar integrations Auto-create events from messages Smart conflict resolution & reminders 6. AI Brain Use open-source LLMs (LLaMA 3, Mistral, Mixtral, etc.) Intent recognition, priority scoring, auto-classification RAG / LangChain pipelines 7. Client Dashboard Inbox with AI summaries Task list & auto-generated replies Custom automation builder (Zapier-like logic) 8. Subscription & User Management Razorpay integration Plans: Free trial, Basic, Pro User login, billing portal, usage stats Prefer...

...the system (AWS / GCP / Azure / secure alternative) Set up the domain and SSL Deliver a live working link + admin access System should be simple to operate, with a clean dashboard and minimal buttons. Technology Stack (Developer’s Choice) Frontend: React / / Vue Backend: Python (FastAPI / Django) or Node.js Database: PostgreSQL / MongoDB + S3 storage AI Layer: OpenAI / Claude / Mistral with RAG integration (Pinecone / FAISS / Chroma) Budget & Cloud Cost (Approximate) Cloud hosting: $20–50/month LLM + API cost: $30–80/month depending on usage Development: Open for proposal (fixed-price milestone preferred) Deliverables Fully functional and hosted AI website (live link) Backend setup with ingested homeopathy books Local + cloud case storage an...

I already own the Conversation AI template from CodeCanyon and a full specification that maps it to a branded “Le Mistral” chat experience. Your task is to take that source, apply my branding, add a paid-tier flow, and get the app live on Google Play. Here is what I will hand over on day one: the licensed template, my colour palette, logo files, Stripe keys, and a detailed screen-by-screen brief. The template is solid, so we are talking light but polished work—mainly UI refits (new colour scheme, refreshed layouts) plus two functional additions: secure user authentication and an paid tiers. Acceptance criteria • All screens reflect the new colours, spacing, and fonts exactly as provided in the brief • Email/Google sign-in implemented and tested end-...

...contract clauses. Retrieval must respect ACLs. Tooling & Plugin System Implement controlled tool adapters for: OSRM (routing) Pricing engine (distance/weight/volume formulas) Accounting API (ERPNext) Payment gateway (Stripe) Tools must be invoked through a safe API layer; tool outputs are validated by back-end business logic. Model Hosting & Inference Support local models (LLaMA/Mistral), quantized (INT8/INT4) for CPU/GPU inference. Provide model selection mechanism per task (e.g., light model for parsing, larger for complex reasoning). Expose inference metrics: latency, throughput, token usage. Security & Data Governance End-to-end encryption in transit (HTTPS / WSS). Sensitive fields redaction rules and encryption at rest. Audit logs ...

...will collaborate across teams to develop production-ready Gen AI applications and enable internal innovation at scale. The ideal candidate combines technical depth in machine learning operations with creativity in applying AI to real-world business contexts. How You’ll Make an Impact LLM Infrastructure & Evaluation • Deploy, manage, and monitor Large Language Models (LLMs) such as LLaMA, GPT, Mistral, and Claude. • Build internal evaluation pipelines to benchmark model performance across diverse business use cases. Knowledge Systems Development • Design and implement advanced RAG pipelines using vector databases like Pinecone or Weaviate. • Develop graph-powered knowledge systems using Neo4j, ArangoDB, or TigerGraph. • Create scalable chunkin...

...language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optim...

...contract clauses. Retrieval must respect ACLs. Tooling & Plugin System Implement controlled tool adapters for: OSRM (routing) Pricing engine (distance/weight/volume formulas) Accounting API (ERPNext) Payment gateway (Stripe) Tools must be invoked through a safe API layer; tool outputs are validated by back-end business logic. Model Hosting & Inference Support local models (LLaMA/Mistral), quantized (INT8/INT4) for CPU/GPU inference. Provide model selection mechanism per task (e.g., light model for parsing, larger for complex reasoning). Expose inference metrics: latency, throughput, token usage. Security & Data Governance End-to-end encryption in transit (HTTPS / WSS). Sensitive fields redaction rules and encryption at rest. Audit logs ...

...backend engineers, data engineers, and domain experts to ensure outputs are accurate, explainable, and citation-backed. Key Responsibilities : RAG Development : - Implement semantic search over judgments, statutes, MCA/GST/RBI/SEBI data. - Build chunking, embeddings, reranking, and citation-grounded retrieval pipelines. LLM Orchestration: - Integrate GPT-4/5, Claude, or self-hosted Llama/Mistral models. - Apply guardrails to prevent hallucinations and enforce citation correctness. Document Drafting AI: - Develop AI-assisted template filling, clause recommender, and redlining systems. - Support multi-lingual drafting (English + major Indian languages). Data & Knowledge Graphs: - Work with data engineers to preprocess legal/tax documents (OCR, NLP). - Contribute to compl...

...supervisor/diver can sign via secure email link or Microsoft Authenticator. Offline-first: all functions available offline, sync when back online. Login & Security: First login with 2FA (email or Microsoft Authenticator). Subsequent logins with 4-digit PIN. Local data encrypted. Future-Proofing (Hooks required in MVP): AI Hook (online + offline): placeholder for later integration (OpenAI / Mistral). HiveSync Hook: placeholder sync module for future AI training. Ægir DiveOS Core Hook: service layer prepared for future integration. (These hooks can simply return “Not implemented in v1”, but code structure must allow easy extension later.) Deliverables Android app (Google Play ready). iOS app (App Store ready via TestFlight/IPA). Desktop apps...

...contract clauses. Retrieval must respect ACLs. Tooling & Plugin System Implement controlled tool adapters for: OSRM (routing) Pricing engine (distance/weight/volume formulas) Accounting API (ERPNext) Payment gateway (Stripe) Tools must be invoked through a safe API layer; tool outputs are validated by back-end business logic. Model Hosting & Inference Support local models (LLaMA/Mistral), quantized (INT8/INT4) for CPU/GPU inference. Provide model selection mechanism per task (e.g., light model for parsing, larger for complex reasoning). Expose inference metrics: latency, throughput, token usage. Security & Data Governance End-to-end encryption in transit (HTTPS / WSS). Sensitive fields redaction rules and encryption at rest. Audit logs ...

...responses over time. Deliverables Fully functional chatbot integrated into our GoDaddy-hosted website. Secure connection to Aspel server for product, price, and client data. Admin dashboard to review conversations, orders, and analytics. Documentation + training for internal staff. Candidate Profile Strong experience with LLMs (OpenAI, Anthropic, or open-source models like LLaMA, Falcon, Mistral, etc.). Knowledge of RAG pipelines, vector databases (Pinecone, Weaviate, Chroma, etc.). Proven experience in API integrations (ERP/CRM systems, databases, websites). Web development experience (GoDaddy / cPanel / WordPress is a plus). Understanding of data privacy and security best practices. Proposal Requirements If you are interested, please send us a short strategy propos...

...backend engineers, data engineers, and domain experts to ensure outputs are accurate, explainable, and citation-backed. Key Responsibilities : RAG Development : - Implement semantic search over judgments, statutes, MCA/GST/RBI/SEBI data. - Build chunking, embeddings, reranking, and citation-grounded retrieval pipelines. LLM Orchestration: - Integrate GPT-4/5, Claude, or self-hosted Llama/Mistral models. - Apply guardrails to prevent hallucinations and enforce citation correctness. Document Drafting AI: - Develop AI-assisted template filling, clause recommender, and redlining systems. - Support multi-lingual drafting (English + major Indian languages). Data & Knowledge Graphs: - Work with data engineers to preprocess legal/tax documents (OCR, NLP). - Contribute to compl...

...AI/ML developer to assist in building a litigation-focused knowledge base using Amazon Bedrock, S3, and foundation models such as Claude, Mistral, and ChatGPT (OpenAI). This project involves ingesting a large volume of PDF and Excel legal documents into an S3 bucket, configuring a Bedrock knowledge base (via Vector Store and/or Kendra GenAI), and enabling retrieval-augmented generation (RAG) to support drafting of long-form legal documents. Responsibilities: Set up and configure Amazon S3 for document storage (PDFs, Excel, etc.) Create a Bedrock knowledge base using: Vector Store and/or Kendra GenAI Index Connect the knowledge base to Claude, Mistral, and optionally OpenAI GPT (via API or exported output) Implement semantic search and RAG (retrieval-augmented generation...

...fine-tuning for specific niches) 13. Emotion Detection from voice input 14. Pose-to-Video (turn poses/images into erotic videos) 15. VR/AR API hooks (future VR/AR integration) 16. Character Marketplace (plugin store for avatars/voices/models) 17. Voice-to-Voice Real Play (audio-only erotic phone-call style interaction) ⸻ Requirements: • Proven experience in LLM fine-tuning (Llama, Mistral, Falcon, etc.) • Experience with TTS/STT open-source (Coqui, Bark, xtts-v2) • Strong background in Stable Diffusion / AnimateDiff / HunyuanVideo or similar for image/video • Skilled in API development and scaling (Node.js / Python, FastAPI, Express, etc.) • Experience optimizing inference cost (GPU usage, quantization, batching) • Bonus: prior...