AI agenty Jobs

Design Refinement Refine your initial concept by specifying how your agent will reason, what memory it will require, and which tools it may need to complete its tasks effectively. 2. RAG and Retrieval Design Integration Decide whether your agent requires external knowledge or retrieval. You will define how retrieval, data grounding, and memory design will support more reliable outputs. 3. Tree-of-Thought Integration Plan Identify where structured reasoning can improve your agent. You will define how branching, evaluation, and selection could strengthen performance on more complex tasks. 4: Multi-Agent Architecture and Coordination Plan Extend your design into a multi-agent workflow. You will define specialized agent roles, communication patterns, and coordination logic to support more ...

TERMS OF REFERENCE CONFIGURATION AND IMPLEMENTATION OF THE SAVANNA TANKS WHATSAPP AI ENQUIRY SYSTEM USING 1. PROJECT OVERVIEW Savanna Tanks requires an experienced specialist to configure and implement a WhatsApp AI enquiry and lead qualification system. The system must answer approved questions, conduct pre-sales discussions, collect customer and tank information, receive files, identify missing information, generate enquiry summaries, assign enquiries, allow human takeover and support follow-up and reporting. This is a configuration project, not a new platform development. 2. OBJECTIVES AND PLATFORM The solution must use current functions, including WhatsApp, AI Agents, knowledge sources, contact fields, workflows, assignments, summaries, human takeover, reporting and approved...

Part A - Prompt Engineering (30 points) Goal: see how prompt design changes LLM output quality. What to do Pick ONE question about your firm. For example: 'Summarize the firm's FY25 financial performance in one paragraph, including revenue growth, margin, and one key risk.' On the Rutgers AI portal, ask that ONE question to TWO different models (e.g., Copilot AND Gemini) using TWO prompting strategies: Strategy 1 (Basic): a single short prompt. Strategy 2 (Structured): a prompt that uses chain-of-thought ("think step by step"), assigns a persona ("you are a senior buy-side analyst"), AND requests a specific format (markdown bullets or a table). That's 2 models x 2 strategies = 4 total responses. Save every prompt and every response. Deliverable for ...

Hello, At Aura, a forward-thinking digital services agency, we help healthcare providers streamline their operations and scale using cutting-edge technology. We are looking for a highly skilled AI Automation & n8n Developer to build an advanced, production-ready AI Agent tailored for medical clinics. Key Responsibilities: - Design and implement end-to-end automation workflows using n8n. - Build multi-channel AI Agents integrated with WhatsApp and Instagram. - Automate appointment scheduling systems (integrating with tools like Calendly, Google Calendar, or clinic CRMs). - Develop automated systems for lead qualification (qualifying potential patients/clients before handing them over to the clinic). - Implement instant, accurate AI responses for Frequently Asked Questions (FAQs) reg...

I’m rolling out a full-funnel campaign that will be driven almost entirely by autonomous AI. To make that possible, I need a partner who can both execute the campaign itself and architect the underlying agentic infrastructure that powers it. Here’s the scope in plain terms: • Build, configure, and orchestrate a network of Super Agents and Specialized Agents that can collaborate seamlessly. • Design the toolkit they rely on—prompt libraries, action chains, API connectors, memory stores, and monitoring dashboards. • Stand up the infrastructure (think LangChain, AutoGPT-style frameworks, vector databases, robust communication layers) so that new agents can be spun up, managed, and retired with minimal friction. • Once the framework is live, run th...

Hello Team, We are planning to build a custom enterprise platform for my company and require an end-to-end software development cost estimation (including architectural backend engineering and frontend dashboard layout) for the following core modules: Custom NLU Engine (Local Context): AI agent orchestration optimized for colloquial language (handling mixed Romanized Urdu dialects and phonetic spellings) with robust runtime typo-handling, multi-turn state persistence, and dynamic multi-model API fallback logic. Vision Surveillance Integration (CV Guard): Background webcam frame processing using local Computer Vision models for real-time facial tracking, continuous desk-presence monitoring ("Admin left desk", "Unknown person detected"), and generating immediate databa...

I need a complete product-presentation experience built around realistic human avatars. Each avatar will narrate a pre-written script while advancing through the slide deck, so the viewer feels as if a live expert is guiding them. Prospects will access the presentation through an email link, an SMS link, or an embedded player on our website; once inside they must be prompted for email and text-message consent. The flow then hands off to an AI agent trained on our material. This agent should answer follow-up questions confidently and, when out of scope, direct the user back to our team. Every new Q&A must feed a growing knowledge base so the agent improves over time. A clear call to action closes the session: the viewer completes a risk-assessment questionnaire that routes directly in...

I need step-by-step guidance on designing, building, and deploying AI agents that automate day-to-day business tasks, with a clear focus on customer support. The tutoring should cover everything from selecting the right large-language-model framework to integrating the finished agent into real-world channels such as chat widgets, email, or help-desk software. Key topics I expect us to work through include: • Planning an agent’s role, conversation flow, and required data sources • Building, fine-tuning, or prompt-engineering the model so it reliably answers customer queries • Connecting the agent to external tools (APIs, CRMs, ticket systems) for end-to-end automation • Setting up monitoring, analytics, and continual improvement loops • Development be...

We are seeking an experienced AI Infrastructure Engineer / AI Systems Consultant to help us integrate AI into the core operations of our business. This is not a content creation or social media role. You will work directly with our leadership team on small, well-defined projects that improve efficiency, automate internal workflows, and build scalable AI-powered systems. Responsibilities • Design and implement AI-driven operational workflows. • Automate internal SOPs and employee onboarding processes. • Improve lead management and customer communication workflows through AI automation. • Integrate AI with Gmail, Telegram, Asana, our website, and other business systems. • Build and maintain API integrations using platforms such as OpenAI, ChatGPT, Claude, and Clau...

### **Título del Proyecto:** Expert in AI Agents (Ollama, OpenClaw, n8n) needed to build Master Agent Orchestrator & Local Infrastructure Optimization ### **Descripción del Trabajo:** Busco un ingeniero de software o experto en DevOps/AI con experiencia comprobable en arquitecturas de agentes locales para estructurar, optimizar y conectar mi entorno actual en Linux (Pop!_OS). Ya tengo varias herramientas instaladas (**Ollama con Llama 3/Qwen, OpenClaw, n8n**), pero necesito un profesional que limpie la configuración actual, resuelva conflictos de recursos y cree una arquitectura de orquestación sólida. #### **Objetivos y Entregables del Proyecto:** 1. **Orquestación de Agentes Maestros:** * Desarrollar un **Agente Maestro "CLAW"...

Detailed Description: Silicon is a full team of AI colleagues, deployed inside a company the way employees are. Each one holds a role, owns a function, connects to the tools the company already runs on, and works alongside the human team every day. One Silicon runs operations. Another executes marketing. Others handle engineering support, finance workflows, sales coordination, or compliance. They coordinate with each other, report to humans, and operate on infrastructure the customer controls. Clients do not buy a software license. They get a discovery call, an organizational assessment, a team of Silicons designed around how their company actually works, and deployment in roughly one to two weeks. From that point the company effectively has a new department running inside it. The oppor...

Use Case A: The Conversational WooCommerce ManagerInstead of relying solely on document drops, the agent acts as an on-demand, chat-based store manager. You or your staff can simply message the agent in natural language to execute catalog Input: You type a command into your Hermes chat interface or a connected Telegram bot (e.g., "Mark all nappies Size 4 nappies as Out of Stock" or "Update the retail price of Brand X toothpastes to $6.50"). The Reasoning: Minimax acts as the natural language parser. It reads your text, identifies the intent (Stock Update vs. Price Update), and extracts the exact product name and new value. The Execution: Max Hermes launches the headless browser, navigates to the WooCommerce wp-admin dashboard, searches for the specific product, adjus...