Langchainemplois

J’ai plusieurs clients qui veulent confier à l’IA une partie de leurs processus internes et externes. Ma priorité immédiate est de mettre en place un chatbot intelligent qui automatise le service client. Le bot doit gérer l’ensemble du cycle : réponses aux questi...métier et parle français sans approximation ; - connecter la solution à nos systèmes existants (CRM, ERP, messagerie, éventuellement WhatsApp ou Messenger) ; - tester, documenter et assurer un transfert de connaissances clair. Une fois le premier déploiement validé, nous élargirons l’automatisation à d’autres processus internes. Si tu maîtrises les frameworks NLP modernes (Dialogflow, Rasa, La...

Je souhaite mettre en place des agents IA capable de servir immédiatement nos clients PME/TPE : réponses automatiques aux questions fréquentes, assistance en continu et déclenchement d’actions pour automatiser certaines tâches internes. Le projet ne se limite pas au simple chatbot ; j’ai aussi besoin d’une couche d’...conversationnelle multicanale (widget web ou API) ; - relier l’agent à nos outils existants (CRM, e-mail, base de données) et automatiser des flux récurrents ; - mesurer les performances, itérer et documenter chaque étape. Livrables attendus : code propre et versionné, chatbot déployé et opérationnel, scripts d’automatisation, documentatio...

.../ networking configuration Containerization (Docker) Environment configuration management Architecture Knowledge Designing middleware integration layers Converting complex APIs into business semantic APIs Handling long-running workflows Designing safe update operations (write vs read actions) Nice to Have Experience in enterprise systems integration Experience with agent frameworks (LangChain, LangGraph, Semantic Kernel, or similar) Knowledge of approval workflows / audit logging Experience deploying internal copilots or assistants Responsibilities Design the AI orchestration pattern (not just code implementation) Implement secure tool-based action execution Prevent unsafe or unintended write operations Provide extensible architecture for future integrations Doc...

...simply giving solutions. Safety is critical, so I need content filters, refusal handling, and basic session logging that lets us audit conversations without storing any personal data. I’m open to whichever stack you prefer—Python (FastAPI), Node.js, or a no-code backend—as long as it can interface smoothly with an LLM such as OpenAI GPT-4, Claude, or an open-source alternative (e.g. Llama-2 via LangChain). The current site runs on React, so the front-end widget should drop in with minimal rewiring and respect our existing SSO token to identify the parent account. Deliverables • Conversational AI model pipeline with prompt-engineering layer tuned for K-12 homework support • React embeddable chat widget styled to our design system • Backend ...

...non-negotiable. Mobile work will cover both iOS and Android. Cross-platform solutions like Flutter or React Native are welcome, but native Swift/Kotlin skills are equally valuable if a project demands it. The AI receptionist must integrate with common calendar systems (Google, Outlook, iCloud, etc.) and handle conversational booking, rescheduling and basic FAQs. Experience with Dialogflow, Rasa, LangChain or direct OpenAI API calls will be a major plus, and you’ll need to set up any necessary webhook or Twilio/WhatsApp gateway so the bot can operate on both web chat and messaging channels. Deliverables I expect on a typical engagement: • Clean, well-documented code in a public or private repo • Deployed, fully functioning web and/or mobile build • A ...

...responsibilities are: • Code generation from high-level specs • Pin-pointed bug-fixing suggestions after reading a failing test or stack trace • In-line code review and optimisation feedback before pull-requests are merged Language & tooling The model must reason confidently in Python, JavaScript and Java, because those are the three stacks our teams use daily. You are free to orchestrate it with LangChain, OpenAI, Llama-index, or similar frameworks—whatever lets the prompts stay dynamic and the responses actionable. Desired flow 1. User enters a natural-language request in our IDE or chat UI. 2. Agent classifies the intent (generate, fix, or review). 3. It builds a structured prompt that injects file context, coding standards, and test output...

...Procedimiento para actualizar modelos Vídeos/screencasts explicativos Diagramas de arquitectura Asesoramiento de Hardware: Recomendación detallada de configuración de servidor local (GPU, RAM, almacenamiento, concurrencia estimada), con margen de escalabilidad. 5. REQUISITOS DEL CANDIDATO Experiencia demostrable en despliegues On-Premise de LLMs y arquitecturas RAG industriales. Dominio de LangChain, LangGraph o LlamaIndex. Capacidad de crear sistemas de scraping robustos para plataformas sin API. Experiencia sólida en búsqueda vectorial y embeddings en dominios técnicos. Conocimiento de librerías de ingestión documental y diseño de pipelines ETL complejos. Experiencia en arquitectura modular, resiliencia y ...

...passes context, and returns suggestions. • A brief walkthrough (video or written) that shows the integration running inside VS Code so I can replicate the setup on additional machines. I’m comfortable handling routine setup tasks, but I’ll rely on you for the deeper pieces—authentication flows, API usage, extension hooks, or any SDK glue required. If you see a need for additional tooling (LangChain, OpenAI Java SDK, etc.) please explain your choice and wire it in. Acceptance criteria: 1. I can run the provided sample project in VS Code and see automated suggestions appear for Java files. 2. The integration respects the Copilot (or alternative model) limits and handles errors gracefully. 3. All configuration steps are documented so a teammate can f...

AI & Full-Stack Tech Client Acquisition Partner Needed (Commission-Based) I am an experienced Full-Stack AI & Software Engineer with strong hands-on expertise in building production-ready systems, including: AI / LLM Development (OpenAI, Gemini, LangChain, RAG, AI Agents) Machine Learning & Data Science (Python, Pandas, NumPy, Scikit-learn) Backend Development (Python, Node.js, REST APIs) MERN Stack (MongoDB, Express, React, Node.js) DevOps & Deployment (Docker, CI/CD, Cloud hosting) Automation & AI Chatbots (WhatsApp, Web, CRM integrations) I deliver scalable, high-quality solutions with clear communication and on-time execution. Role: Client Acquisition Partner I’m looking for a motivated, reliable partner who can bring genuine AI / software developme...

...with safe-delete and bulk-archive logic • Workflow automation module (documentation handling, routine process triggers) • Calendar sync service with reminder system • Tone-aware email rewriter + grammar checker • Prioritization layer and concise web or desktop dashboard with API access Technologies like Python, Node.js, serverless functions, and modern NLP/LLM frameworks (e.g., OpenAI, LangChain, spaCy) are welcome—just outline your stack and show me previous, relevant AI work. Deployable code, clear documentation, and a short demo video will complete acceptance. If you can bring this intelligent, professional-grade assistant to life, let’s talk timelines and milestones. I already have the layout, what apps to use, and how to build it......

...or answer instantly, and feel as if they are speaking with a well-trained human agent. Alongside the chat experience, I need an end-to-end AI pipeline that automatically extracts raw data from the web, aggregates and cleans it, performs analysis, and then publishes clear visualisations—including map views—so insights are always one step away. I’m comfortable with tools such as Python, Pandas, LangChain, Node, SQL, Power BI, Tableau, or any similar stack you can justify. Key deliverables • Deployed WhatsApp agent(s) connected through the WhatsApp Business API - WhatsApp channel is ready. • Retrieval-augmented knowledge base so the bots surface the latest information without hallucinations .. Critical • Automated ETL jobs (n8n, Airflow, or yo...

...feels at home in both TypeScript and Python and has already played with the popular open-source “AI agent” stacks. My immediate goal is to stand up a proof-of-concept chatbot that can reason over structured data stored in a SQL database, surface answers in natural language, and be easy for me to extend later. Here is what I’m after: • Pick and wire up an open-source autonomous-agent framework (LangChain, AgentGPT, SuperAGI or a comparable option you trust). • Expose a clean TypeScript interface so the rest of my app can call the agent with a prompt and receive a streamed response. • In Python, configure the agent’s toolset to pull data from my existing Postgres tables, run simple analytic queries, and return concise answers. • S...

...stitch together a fully automated workflow in n8n that is assisted by an AI agent. The core objective is hands-free workflow automation spanning Google Workspace, Salesforce and Slack so I can quit the repetitive busywork and focus on higher-value tasks. Here is the scope I have in mind • Email management – an n8n flow should watch Gmail, classify inbound messages with an AI classifier (OpenAI, LangChain, or your preferred library), file or label them, surface high-priority threads in Slack and, when relevant, create or update Salesforce records. • Data synchronisation – contacts, deals and support tickets must stay in sync between Salesforce and Google Sheets / Drive with conflict resolution rules. • Task management – when certain triggers...

...platform such as WhatsApp or Telegram is up to you, as long as the hand-off feels effortless to the student. • A lightweight teacher dashboard so I can see how the bot is being used, update answers, and switch it off if I need to jump in live. • Source code and clear deployment instructions so I can host the solution myself once we finish. I’m comfortable if you build on Dialogflow, Rasa, LangChain, or a custom Python/NLP stack so long as we end up with a maintainable project that doesn’t lock me into hidden costs. At hand-over I will test the bot against a sample lesson, asking follow-up “why” and “how” style questions. When it answers with wording consistent with my material and shows no hallucinations, I’ll sign off. I...

...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 Management: Ollama, LocalAI, or GPT4All * Vector Database: ChromaDB or FAISS (must be local/persistent) * Frontend: Streamlit, Gradio, or a lightweight React app Ideal Candidate * Experience with Local Large Language Models (LLMs). * Proven track record building RAG pipelines. * Familiarity with hardware limitations for offline AI. * Experience in ...

...system using Python + LangGraph (OpenAI). Your main responsibilities: Build AI workflow using LangGraph + Python Connect AI system with Laravel backend (API integration) Handle prompts, memory, logic, and flow Optimize for speed and scalability Deploy on shared/VPS server (cPanel/Linux) Provide documentation & handover Technical Requirements You must have strong experience in: Python LangGraph / LangChain OpenAI API REST APIs Laravel integration Server deployment (Linux / cPanel / VPS) Git / Version Control Bonus if you have: SaaS experience AI chatbot / automation projects WhatsApp / Messaging API integration...

...While the mobile build is underway, I also want to formalise the visual language of the product—colours, type, iconography, tone—into a concise brand style guide that my team can reuse across every touchpoint. Certain features in the roadmap rely on AI (for example, smart content recommendations and intent-based search). If you have preferred libraries or services—TensorFlow Lite, OpenAI, LangChain, or on-device ML kits—bring them into the discussion; speed of delivery is key. I’m comfortable with AI-assisted tooling (GitHub Copilot, automated testing, etc.) if it keeps the timeline tight. Once the mobile MVP is solid, I want a pared-down web companion built from the same React codebase wherever possible. A responsive layout, minimal routing, a...

I am looking for an experienced RAG engineer to improve my AI system built with LangChain and OpenAI, focusing on better retrieval accuracy and structured outputs. The role involves redesigning our vector store strategy (beyond basic Chroma) to support fresher, time-aware, and more relevant results. You will also refine prompt engineering to ensure strictly valid JSON outputs and reduce hallucinations in multi-step RAG workflows. Responsibilities include reviewing and refactoring the current RAG architecture, optimizing embeddings and chunking, and improving performance and scalability. Ideal candidates have strong experience with RAG systems, vector databases, prompt engineering, and production-grade Python.

...a system that learns over time, improving: * Project prioritization * Builder / authority relevance scoring * Sales effort allocation and visit planning Preferred Technical Profile * Hands-on experience with: * LLMs (ChatGPT, Claude, Gemini, open-source models, etc.) * Prompt engineering and agent-based workflows * Familiar with tools such as (or similar): * AutoGPT / LangChain / CrewAI / OpenAI APIs * Web scraping + AI parsing workflows * No-code / low-code automation platforms * Strong understanding of: * Data pipelines * Knowledge graphs or relationship mapping * AI-assisted research systems * Comfortable working independently and thinking in terms of scalable systems, not manual tasks Engagement Model * Fully remote * Freelance /...

...them toward demos or check-out. On social media it must publish scheduled content and jump into the comments or DMs to keep conversations alive—no spammy replies, just context-aware engagement that feels human. For email, I’m after smart sequencing: the agent should segment subscribers on the fly and send tailored follow-ups based on behavior. I don’t mind which stack you prefer—OpenAI GPT, LangChain, Rasa, Dialogflow, or a custom Python/NLP setup—as long as the final solution is easy for my team to tweak and monitor. If you can connect into our existing CRM (HubSpot) and analytics tools, even better. Deliverables • Fully functional AI agent with web-chat widget • Social integrations covering posting & real-time engagement on the ...

...updates without touching code. – User accounts with basic matter tracking, document uploads and encrypted storage. – Deployment to my existing domains with staging and production environments. Stack guidance I’m comfortable with React or on the front end and Node, Django or similar on the back, so long as you can justify your choice. For AI, feel free to pull in OpenAI / GPT-4, LangChain, Pinecone (or an equivalent vector store). You just need to justify your choice and it's fine if the team is okay with it. Acceptance criteria (final hand-off) 1. Two responsive websites live on our servers, SSL enabled. 2. AI chatbot answers our seeded questions with <3 sec average latency and 95 % accuracy on a test set we’ll supply. 3. Admin dashb...

We are building an AI Agent Builder platform that allows users to create, configure, and run AI agents from a dashboard. Users should be able to: Create AI agents Define agent tools/services (APIs, webhooks, integrations) Run agents with conversation history Manage agents from a web dashboard This is a real product, not a demo or experiment. Tech Stack Backend (AI / Logic) Python LangChain LangGraph Jinja (for dynamic templates / configs) Backend (App / API) Laravel (Auth, users, billing/balance, APIs) Frontend React.js (Agent Builder UI, dashboard, testing agents) Scope of Work 1. AI Backend (Python) Build agent orchestration using LangGraph Tool-based agents (API calls, functions, integrations) Support agent memory & conversation history Streaming & no...

Project Title: Build a Multi-Modal AI Productivity Suite (Meeting & Document Intelligence) Project Description I am seeking a developer to collaborate on a high-level AI productivity tool. The goal is to create a system that can pr...Retrieval-Augmented Generation system allowing users to upload large PDF/DOCX files and "chat" with the data for specific facts. Module 3: Sentiment & Intent Analysis: A dashboard component that tracks the "mood" of a conversation or document. Integration: A clean, functional API or Streamlit-based frontend to tie these features together. Required Technical Stack: Language: Python AI Frameworks: LangChain or LlamaIndex Transcription: OpenAI Whisper or AssemblyAI Database: Vector Databases (ChromaDB, Pinecone, or FAISS)...

...landing pages. • Finance Agent – generate timely management reports and keep real-time tabs on expenses. • HR, Operations, Customer Success Agents – I have broad objectives for each (talent administration, workflow optimisation, proactive client health respectively) and will refine the exact tasks with you during discovery. What I need from you – Select the right stack (e.g., OpenAI/GPT-4, LangChain, vector store, RAG pipelines) and architect it so each agent runs independently but can safely share context when helpful. – Build, test, and harden the six agents, then deploy them to either our Azure environment or a lightweight cloud of your preference. – Provide clean prompts / code, an integration map (CRM, marketing suite, ERP), a...

...agent will read incoming tickets, suggest or send context-aware replies, and escalate anything outside predefined confidence levels. At the close of each cycle it will compile a concise report: updated record counts, uptime metrics, customer-support KPIs, and a short trend analysis showing spikes or deviations. A Python stack with REST integration, async handling, and libraries such as pandas, LangChain or similar for LLM prompts would suit us, but I’m open to other reliable options if they meet the same goals. Execution can be triggered by cron, a lightweight scheduler, or a serverless function; what matters is that it runs unattended and keeps detailed logs. Deliverables • Production-ready agent script(s) with clear setup instructions • API interface modul...

...setup guide • Documentation explaining how personalization is achieved and where to extend the curriculum Completion is defined by my ability to log in as a test learner, select a topic from the sample set I will provide, and receive a coherent, adaptive lesson that changes when I intentionally give wrong or right answers. When you reply, please outline the toolchain you prefer (e.g., Python, LangChain, Pinecone, ) and share one example of a similar adaptive-learning feature you have shipped....

I’m looking for a true specialist in LangGraph and LangChain to work hourly on building and improving AI agents that are already running in production. This is not a research role, a tutorial-based role, or a “learning as you go” engagement. The architecture exists. Agents exist. Problems exist. I need someone who knows how to design, fix, and scale agent workflows properly. If you’ve only built demos, chatbots, or basic chains, this role is not a fit. What you’ll do * Design and refine agent workflows using LangGraph * Build and maintain advanced logic with LangChain (chains, tools, memory, routing) * Fix broken or poorly designed agent flows and state handling * Improve reliability, performance, and cost efficiency * Work on multi-step, dec...

...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...

...public datasets). • Parse results intelligently, filter out noise, and assemble a short, readable summary plus citations. • Handle follow-up questions by refining or expanding the original search, rather than starting from scratch. • Respond in under two seconds for typical queries. Tech notes I am comfortable with Python and REST APIs, so leveraging tools like Requests, BeautifulSoup, LangChain, or a lightweight vector database is fine—feel free to suggest alternatives if they improve speed or accuracy. Deliverables 1. Well-structured, commented source code. 2. A brief README explaining setup, environment variables, and how to add new data sources later. 3. A short demo video or GIF proving the assistant can answer at least five varied knowle...

My multi-tenant Laravel ERP SaaS needs an agentic AI layer that can take over intelligent customer support inside the Customer Relationship Management area. The goal is f...commented PHP & JS/TS code. • Feature flag so I can enable AI per tenant. • PHPUnit & Pest tests covering the new service class and controller (minimum 85 % coverage on added lines). • Setup notes added to README, including any new env keys. • Deployed and demoed on my staging server within one week from contract start—ASAP is ideal. If you have previous experience weaving agentic flows, LangChain-PHP, or writing custom OpenAI function calls in Laravel, you’ll hit the ground running. Let me know which libraries or architecture patterns you’d lean on so we can...

... Implementing a RAG-based chatbot that: Only answers when evidence is found Displays 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 loo...

...part of this engagement will involve a brief discovery session where we clarify the core function (customer support, data insights, virtual assistance—whichever proves the best fit) and choose the most practical channels—web, mobile, CRM, or a combination. Once the scope is locked in, I will rely on you to architect, train, and deploy the solution. Typical tools might include Python, Node.js, LangChain, or a comparable framework for large-language-model orchestration, but I’m flexible as long as the final agent responds accurately, logs conversations for later review, and can be expanded with additional skills. Deliverables • A working AI agent hosted in a test environment • Connection hooks or webhooks ready for the agreed-upon platform(s) &bu...

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...overall fit. Once I’ve tested your demo, I’ll outline the domain specifics and grant data access. The engagement will revolve around refining your existing model, exposing a clean REST or GraphQL API, and deploying the solution to my cloud environment (AWS or GCP). Solid accuracy, low latency, and well-documented Python code that leverages libraries such as Hugging Face, PyTorch, TensorFlow, or LangChain are all critical. Deliverables: • A publicly accessible link to your working NLP demo • Brief but clear architecture and tech-stack summary • A step-by-step plan to adapt the model to my use case • Final integrated solution with deployment and usage documentation I’ll review submissions on a rolling basis and follow up quickly with...

...royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and calls the ...

...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...

...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...

...royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and calls the ...

...progress. The core responsibilities for this first release are: pulling raw figures from a mix of internal databases, external APIs and cloud drives; cleaning and reconciling that data inside our ledger; and sending friendly follow-up messages to clients when information is missing or deadlines are near. I’m looking for someone who has already shipped production-grade agentic systems—think LangChain, AutoGen, CrewAI, or your own orchestration layer—and understands how to chain them with LLMs, vector stores, function calling and secure API gateways. The solution must: • spin up multiple task-specific agents (ingestion, reconciliation, communication) that share memory yet stay audit-traceable • expose a dashboard so my team can step in for regula...

...Prompt • Image → Prompt • Video → Prompt • Style replication prompts (Midjourney, SDXL, Runway) AI Agents System • Research Agent • Coding Agent • Social Media Agent • Content Agent • Business Planner Agent Social Media Intelligence • 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 &bul...

I'm looking for a developer to build a project that implements a Retrieval-Augmented Generation (RAG) pipeline enabli...(Ollama) for conversation Implement secure tunnel using ngrok Debug and optimize the workflow Document setup and usage Project Details New project build (not an existing application) Focus on RAG architecture and secure local-cloud integration No major UI or frontend work required Requirements Experience with FastAPI and Python Strong understanding of RAG and semantic search Experience with LangChain or similar frameworks Familiarity with HuggingFace embeddings Ability to configure ngrok and secure local endpoints Clear communication and independent problem solving If you’re excited about building cost-effective AI systems and RAG pipelines, I’d...

...Engine: Develop a proprietary scoring algorithm to predict "investor-founder fit" based on historical funding data and sector preferences. Full-Stack MVP Development: Create a responsive, high-performance web dashboard (React/) integrated with a robust Python-based backend. Technical Requirements: LLM Expertise: Deep experience with OpenAI/Anthropic APIs and orchestration frameworks like LangChain or LlamaIndex. Vector Databases: Proficiency in managing vector stores such as Pinecone, Weaviate, or Milvus. Backend Mastery: Expert-level Python (FastAPI/Django) and experience building scalable RESTful APIs. Data Intelligence: Experience in web scraping and processing financial/market data for knowledge graph construction. Bonus: Previous experience in FinTech, Ventu...

...request using an AI agent * Resolves contacts and calendars * Books the appointment in **GoHighLevel (white-labeled as Groovo)** * Confirms the action back to the user This assistant also supports: * Contact management * Opportunity management * Task creation and updates * Calendar availability (free slot lookup) * Conversational memory --- ## Current Tech Stack (Already Built) * **n8n** * **LangChain AI Agent** * **OpenAI (GPT-4o-mini)** * **GoHighLevel OAuth API** * Chat trigger (text/chat based) * Conversation memory buffer The AI agent already has tool access to: * Create / update / search contacts * Create / update / retrieve opportunities * Create / update / retrieve tasks * Book calendar appointments * Retrieve free calendar slots --- ## What Needs to Be Done Thi...

...information from the sources I’ll share with you, filters and structures it on the fly, then hands it to the agent. The agent should run on-the-spot data analysis and generate context-aware responses without human intervention. Think Python with Scrapy or Selenium for the collection layer, fast in-memory handling (Redis, Kafka, or similar) to keep everything real-time, and an LLM framework such as LangChain or a custom GPT wrapper for the reasoning layer. If you have a better tech stack in mind, I’m open to it as long as it remains fast and easy to scale. Deliverables I need to sign off on: • A working scraper that operates in real time and can be pointed at additional sources with minimal code changes. • An AI agent that ingests the incoming stream, pe...

...conversations in real time, and 3) pull or push data by connecting to CRMs or any other external systems through their APIs. The bot must accept plain-language instructions so that non-technical staff can tweak tone, escalation rules, and knowledge sources without code changes. Under the hood I imagine an LLM-based architecture (GPT, Claude, or similar) orchestrated through a framework such as LangChain, Rasa, Botpress, or a custom Python/Node micro-service—whichever you believe fits best. Robust intent detection, conversation memory, and fallback to human agents are mandatory. I value experience in AI bot development above all, so please centre your proposal on that. Show me how you would: • design the conversation flow and knowledge retrieval layer • int...

...summaries of an entire file or a specific section the user highlights. Interaction happens only through text, so no voice commands or button workflows are required. A simple web interface, desktop app, or command-line tool is acceptable as long as it supports drag-and-drop or file-picker uploads and returns responses quickly. Deliverables • Source code with clear setup instructions (Python with LangChain, Node.js, or another modern stack is fine as long as dependencies are documented). • A lightweight UI that lets me upload or select multiple documents at once, enter questions, and see answers or summaries. • README that explains how to add more documents and retrain or re-index the model. • Short demo video or screenshots showing the chatbot answeri...

...are building Ruta Neural™ – a Technical AI Concierge for residential buildings. The goal: The system ingests technical PDF manuals (e.g., Washing Machines, Elevators, House Rules) and accurately answers tenant questions via chat. Key constraint: Zero Hallucination. If the answer is not in the PDF, the bot must say "I don't know". YOUR TECH STACK: Core: Python (FastAPI / Django). AI Logic: LangChain or LlamaIndex. Vector DB: Pinecone, Weaviate, or Supabase. LLM: OpenAI (GPT-4o) & Azure OpenAI. THE PROCESS (How we hire): We do not hire based on CVs. We hire based on code. Phase 1: You apply. Phase 2: We select top 3 candidates for a PAID Test Task ($50). Task: Ingest a "Miele Washing Machine Manual (PDF)". Prompt: "Error F3&qu...

...Mission We are not building another chatbot wrapper. We are building an orchestration layer for the automated economy. You will be responsible for developing 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 Fl...

...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 development skills (Python, Node.js, FastAPI, Django, etc.) Experience desig...

...orchestrate with Kubernetes later. • AI workflow creation: weave OpenAI and LangChain into core processes—think intelligent data extraction, conversation agents, or smart decision support—while keeping performance and security front-of-mind. • Cloud readiness: package everything for seamless deployment on AWS or Azure, taking advantage of managed databases, messaging queues, and robust CI/CD pipelines. • Architecture & advisory: guide our internal team on best practices, document decisions clearly, and leave us with maintainable, well-tested code. Acceptance criteria: a running set of microservices in C#/ASP.NET accessible through documented endpoints, at least one end-to-end AI workflow powered by OpenAI/LangChain, automated build &am...