KI-Agenten Jobs

I’m building an in-house server that chains several AI agents together through OpenClaw, Ollama, open-router, and n8n. A technician is already handling the nuts-and-bolts installation, yet I still need a creative mind to help me squeeze the most value out of the stack across several businesses I own. Here’s what our collaboration will look like: • We’ll meet on Google Meet a couple times a week for a one-to-one session. • During each call we’ll brainstorm fresh use cases, refine existing automation workflows, and explore ways to optimise server resources and AI-agent integration. • After the discussion you’ll send a concise recap with action items I can hand over to my technician. Because everything lives in an evolving environment, thi...

I’m looking for a seasoned QA professional to craft a full-scale test strategy for our new self-serve IVR platform. The document must tell a complete story—from high-level objectives down to step-by-step execution—so that my internal QA team can pick it up and run without guesswork. Scope and focus The strategy has to address every angle of the experience: the customer-facing user interface, voice recognition accuracy, and all back-end system integrations. My end goal is threefold: prove day-one usability for callers, demonstrate rock-solid performance and reliability under load, and confirm seamless compatibility with the rest of our customer-care stack. Key features that must receive priority coverage are call routing and transfers, natural-language voice command re...

We’re inviting developers and builders to create a useful AI agent powered by CLōD () CLōD is an AI inference platform designed to make AI more accessible, intelligent, and affordable for builders. It provides: - Access to premium AI models at lower cost - More free LLM models - Higher free request limits for builders - A simple API for building AI applications and agents If you're building AI tools, assistants, or automations, CLōD helps you run them cheaper and more flexibly. What to Build: Create a working AI agent that performs a useful task. Your agent can run anywhere, web app, automation workflow, messaging bot, etc. Examples include: - Telegram AI assistant that answers questions or automates tasks - Discord moderator bot that manages communities - WhatsApp AI helpe...

I’m building a next-generation platform centred on Agentic Models—everything from single autonomous agents to full swarms and complex orchestrations that coordinate dozens of specialised LLMs at once. The immediate goal is to turn our R&D prototypes into production-ready systems, then keep scaling them until they can handle real-world, mission-critical workloads. Here’s what the role looks like day to day: • Architect and code large-scale agentic functions, swarms and orchestration layers that can reason, plan and act with minimal human guidance. • Integrate and benchmark state-of-the-art language models (OpenAI, Anthropic, Llama 2/3, etc.) alongside tools like LangChain, CrewAI, Semantic Kernel or your own preferred framework. • Optimise memory, ...

I am looking to develop a platform for AI evaluation and red teaming of AI agents , LLMs MCP servers , IVR, voice agents , conversational bot agents , chatbots etc.

I want to build an AI agent that can pose the same research question to at least five different large-language-model APIs (e.g. GPT-4, Claude, Cohere, Palm, Llama-2 via Hugging Face) and capture every answer in real time inside a single Google Sheet. The workflow should look like this: 1. I type or paste a prompt once. 2. The agent forwards that prompt concurrently to each chosen LLM. 3. As soon as each model replies, the agent writes a new row to my Google Sheet with these columns: timestamp, prompt, model name, full response, and any cost/latency data you can easily expose. 4. When all models have answered, the sheet shows a complete, side-by-side record that I can analyse for research purposes. Language and stack are flexible; pick whatever lets you move fast (Python, JavaScript...

We’re inviting developers, builders, and AI enthusiasts to build a small AI-powered tool or experiment using CLōD (). CLōD is a programmable AI inference platform that allows developers to control model routing, cost, latency, and performance across multiple AI models. This challenge is intentionally lightweight, the goal is simply to build something interesting or useful with AI. Examples: - A small AI assistant - Automation workflow - AI-powered productivity tool - OpenClaw integration - n8n workflow - Creative AI experiment Simple projects are totally fine, creativity and innovations matter more than complexity. Submissions will be judged on: - Usage of CLōD's AI inference features - Practical usefulness and real-world relevance - Clear demonstration of the idea (i.e. G...

We ship new features every few days, so quality must keep pace. The task is to own end-to-end testing - both manual and automated; from designing cases right through to signing off each release. Manual coverage is expected on functional flows, user-experience quirks and full regression sweeps. At the same time, a lightweight Selenium suite should be expanded (or created if gaps exist) so that smoke tests run automatically inside our CI pipeline. Project Overview Own the full QA lifecycle for cutting-edge Agentic AI products. We're seeking a sharp, self-starting QA pro who thrives in dense environments, finds bugs lightning-fast, and delivers fixes without handholding. Weekly releases demand speed: hit 90% critical path coverage in 21 days, regressions under 10 minutes, and bug-free...

Greetings! We are an IT services company. If you know GHL inside out — and have built systems that directly drove revenue — keep reading. We are not looking for someone who “knows the platform.” We are looking for someone who can turn GoHighLevel into a revenue engine. This role owns the full customer journey — from lead capture to close, upsell, cross-sell, and reputation growth. You will design and run the systems that power our pre-sales, sales, and post-sales workflows. ________________________________________ What Success Looks Like • Leads move automatically through a clean, optimized lifecycle • Sales teams work inside structured, conversion-focused pipelines • Funnels convert consistently and improve over time • AI...

I'm seeking an automation expert, to build several marketing and content posting workflows for our social media accounts. We currently have semi-automation workflows but are looking for a fully automated workflow (with low ongoing costs). There are multiple groups on Facebook offering templates and ability to setup but we have multiple projects and need someone for our work and our clients. Our content is mainly static carousel content with some video content (AI-generated). The automations should involve fully automated topic and content creation, create designs, create scripts, video and carousel creation, trending sounds, general lead flow automation and integrate with top Social Media Platforms: Facebook, Instagram, TikTok, Linkedin and YouTube Our current semi-automated sta...

Unreal Engine 5.7 Game Developer Using AI tools is a must. Having Experience with FPS GAME ( First person shooting Game) Level: Mid to Senior About the Role We are looking for a passionate and skilled Unreal Engine 5 Game Developer to join our team. You will be responsible for building and implementing core gameplay systems, enemy AI behavior, spawning mechanics, and interactive game features in a fast-paced development environment. Using AI tools is a must. Having Experience with FPS GAME ( First person shooting Game) Responsibilities Design and implement gameplay mechanics including player interactions, force fields, timers, point collection, and weapon systems Develop and integrate AI behavior for enemies using Unreal Engine's Behavior Trees and Blackboards Build and manage ene...

Project Overview We are developing a sophisticated "Quad-Agent" AI infrastructure designed to automate the transition of raw client data into structured, auditable compliance and impact reports. Our ecosystem relies on a seamless data loop between HubSpot (CRM), Google Gemini (AI Agents), and AppSheet (User Interface). I am looking for an AI Workflow Engineer to finalize our "System Instructions" and build the technical bridge that ensures data integrity as it moves through our four specialized AI agents. Scope of Work - Multi-Agent Orchestration: Optimize the "System Instructions" for 4 distinct Gemini-based agents (Librarian, Compliance, Communications, and Analyst) to ensure consistent data hand-offs. - HubSpot Integration: Map CRM properties to AI prompt...

I am building a multi-agent AI system to automate 80–90% of a paid creative production pipeline for Meta (Facebook/Instagram). The system includes: Research Agent (creative trend scraping + clustering) Internal Performance Learning Agent (Meta Ads API + tracking integration) Script Generation Agent (data-informed structured JSON output) Static Creative Generation Agent Video Generation & Editing Agent Meta Marketing API auto-upload module Performance Feedback Loop (closed-loop learning) Slack-based control interface Orchestration + memory layer with vector DB This is not a prototype — it needs production-grade architecture, modular design, scalable cloud deployment, and performance monitoring. I need help with: System architecture design Multi-agent orchestrat...

Chcę uruchomić w pełni prywatne, lokalne środowisko AI oparte na modelach 7B i 13B. Interesuje mnie wydajne, łatwe w obsłudze rozwiązanie, które nie wysyła żadnych danych do chmury. Zakres, którego potrzebuję: • Audyt moich potrzeb i rekomendacja sprzętu (Mac, PC lub serwer z GPU – wybór wspólnie ustalimy). • Dobór odpowiednich modeli LLM 7B / 13B oraz, jeśli okaże się to zasadne, większych wariantów. • Instalacja i pełna konfiguracja narzędzia (np. Ollama, LM Studio lub innego, które zaproponujesz). • Optymalizacja ustawień ‑ RAM, quantization, parametry startowe ‑ tak, by uzyskać maksymalną wydajność bez utraty prywatności. • Konfiguracja lokalnego API lub trybu agenta, jeśli będzie to wspierało ...

We are looking for an expert Azure AI Developer to build a functional Proof of Concept (POC) / Demo for an internal AI Assistant within a HIPAA-regulated healthcare environment. The goal is to demonstrate a "Source of Truth" engine where natural language queries about business KPIs return consistent, governed data from a Databricks Lakehouse. Key Technical Stack: Platform: Azure AI Foundry (formerly AI Studio) & Microsoft Fabric. Data: Databricks (Unity Catalog, Gold Layer tables), Azure Data Lake Storage (ADLS). Governance: Microsoft Purview (for PHI tagging and RBAC). Orchestration: Semantic Kernel or AutoGen for Multi-Agent workflows. Integration: Deployment to Microsoft Teams or a custom Web App. Scope of Work (The Demo) Multi-Agent Architecture: Build an "Orches...

Project Overview We are seeking an experienced AI Development Agency or Senior AI Engineer/Engineering Team to design, develop, and integrate a comprehensive suite of Agentic AI assistants for our ERP system. The objective is to automate complex administrative workflows, enhance student self-service capabilities, and deliver a next-generation user experience through conversational AI, OCR document verification, and interactive Video Avatars. Scope of Work (The 7 Key Use Cases) The selected vendor will be responsible for building the following Agentic AI components and seamlessly integrating them into the ERP architecture: Use Case 1: Student Profile Update Agent An AI assistant that enables students to instantly update their profile information (mobile number, email, address, profile photo...

I'm looking for a robust platform to manage incoming calls from AI agents for medical practices, starting with 50 and expected to grow. The platform must be built on Azure and comply with HIPAA regulations. Key functionalities include: - Appointment scheduling - Patient information retrieval - Prescription management - Referrals - Insurance verification - Patient intake Ideal skills and experience: - Expertise in Azure and HIPAA compliance - Experience in developing call management systems - Familiarity with healthcare operations and requirements - Strong background in integrating AI functionalities Please provide examples of similar work and your approach to ensure data security and compliance.

I’m preparing the initial application for a tariff refund claim and want to get it right the first time. I need a licensed customs broker who not only knows the standard refund regulations but has actually applied AI tools or analytics in day-to-day customs operations—think classification prediction, automated anomaly checks, or document-reading models. Here’s what I’m looking for: • A walkthrough of every step in the first-round application, highlighting common rejection points and the exact documents customs officers expect to see. • Suggestions on where AI can shorten review cycles—whether that’s structuring data for quicker HS-code validation or setting up simple scripts to flag inconsistencies before submission. • A concise temp...

I need a small, well-orchestrated team of autonomous AI agents that can take charge of three core areas of my business: running full marketing campaigns, following up every new lead until they answer, and preparing or emailing quotations on the spot. Here is the flow I have in mind. An agent creates fresh content—blog articles, social posts, and email newsletters—then hands it to another agent that schedules or publishes across the right channels and manages the ad spend, audience segmentation, and A/B testing. As soon as a prospect engages, a follow-up agent picks up the thread, pulling data from my HubSpot CRM, drafting personalised replies, and nudging the prospect on a preset cadence. When a hot lead asks for pricing, the quotation agent fills out our predefined template...

4-Agent AI System Configuration & Stabilization (OpenClaw) Project Overview We need an experienced developer to configure and stabilize a multi-agent AI system for a service provider company. The system runs locally on macOS using OpenClaw and integrates with OpenAI and Brave Search. The main goals are: Persistent memory (no session wipe) Strict role isolation between agents No task overlap or role confusion Secure, scalable architecture Current Setup OS: macOS (Mac mini) Platform: OpenClaw (local gateway/dashboard) APIs: OpenAI API (already connected) Brave Search API (already configured) Execution: Manual / on-demand (no automation yet) Existing agents: Infrastructure agent Finance/Organization agent Required Final Architecture (4 Agents) Each agent must have: Its own OpenClaw worksp...