AI Agent Development Projects

opportunity

I need a Full Open Claw Agent setup

I am looking for a freelancer to complete the setup of my OpenClaw agent environment across two VPS instances. OpenClaw is already installed and running on my main VPS, so that side should be relatively straightforward. On the second VPS, OpenClaw will need to be installed, which will also require Docker setup. This should not be a difficult task, as I was able to complete the setup on my own environment without much trouble. In total, I need around 20 agents configured across the two VPSs, with approximately 18 agents on my main VPS and 2 agents on the second VPS. I also expect around 15 cron jobs to be set up across the agent environment, and roughly 15 to 20 Airtable connections will need to be linked depending on the relevant agent workflows. For each agent, I need the freelancer to handle the full setup process rather than simply creating the shell of the agent. This includes creating the agent itself, entering the custom prompt I provide, attaching any relevant markdown files, installing or connecting the required skills, linking the agent to Airtable where needed, connecting the output to Telegram or WhatsApp where applicable, setting the cron job if the agent is meant to run on a schedule, and then testing and fixing the setup until the agent is working properly. I also need one custom skill to be created using the Email Hunter API. The purpose of this skill is to allow OpenClaw to carry out email appending tasks more easily. In practical terms, I want to be able to instruct OpenClaw to find specified contacts and append their email addresses using the Email Hunter API. I will provide the API details once the freelancer has been selected. Most of the accounts and services are already in place. Airtable, Telegram, WhatsApp and the relevant API accounts have already been created. Browser Relay is also not a major build task, as it is something that runs through the Google desktop environment and can be added quite easily, although it does need configuring from time to time. The freelancer may need to access my PC remotely if Browser Relay needs to be configured locally for proper operation. I will provide the access needed for the work, including VPS login details, OpenClaw admin access, Airtable API keys, Telegram bot credentials, WhatsApp credentials, API keys for RSS, news and email-related tools, and remote desktop access to my PC if required for Browser Relay or related local setup. For clarity, "working correctly" means more than just the agent appearing inside OpenClaw. Each agent should be able to run manually and automatically as intended, run according to its schedule where a cron job has been assigned, use its required skills correctly, read from and write to Airtable where relevant, and send outputs through Telegram or WhatsApp where required. Browser Relay should also work correctly for the target sites it is meant to interact with. In addition, I want at least one successful test per agent recorded in a test sheet so there is a clear record that each one has been set up and verified. Once the setup is complete, I need the freelancer to test each agent properly and confirm that everything is functioning as intended. I would also like a screen recording showing the setup of one agent from start to finish, including the VPS-side work, OpenClaw configuration, prompts, API keys, cron jobs, integrations and testing, so I have a clear reference for how the system has been configured. Summary of what needs doing: *Install OpenClaw and Docker on the second VPS *Configure around 20 agents across 2 VPSs *Add my custom prompts to each agent *Attach markdown files to each agent where required *Install and connect the relevant skills for each agent *Create 1 custom Email Hunter skill for email appending *Set up around 15 cron jobs *Link around 15 to 20 Airtable connections *Connect relevant agents to Telegram and/or WhatsApp *Ensure Browser Relay is working correctly *Use remote desktop access if local Browser Relay setup is needed *Add and configure relevant API and RSS access *Test every agent and fix issues until working *Record at least one successful test per agent in a test sheet *Provide a screen recording of one full agent setup from start to finish *Complete final testing and handover

opportunity

AI Monitoring Platform for UK Company Alerts

Project Title: AI Monitoring Platform for UK Company Financial Distress & Insolvency Alerts (SIC-Based) Project Overview: I’m looking for an experienced developer (or small team) to build an AI-powered monitoring platform or intelligent agent that tracks UK companies within pre-defined SIC codes and automatically alerts me when there are signs of financial distress or insolvency. The system should continuously monitor company data, detect risk signals, and provide both real-time alerts and structured reporting. Core Objective: To proactively identify companies within selected industries that are: Experiencing financial decline (e.g. credit score drop) Entering insolvency processes (e.g. notice of intent to appoint administrators) Showing early warning signs of distress Key Functional Requirements: 1. Company Data Collection The platform must: Pull and maintain a live database of UK companies filtered by selected SIC codes Sources should include: Companies House API Commercial data providers such as Creditsafe, Experian, Dun & Bradstreet (or similar via API) 2. Data Monitoring (Automated & Ongoing) The system should periodically (daily or weekly) re-check and update the following: Credit score (via commercial providers) Filing timeliness (overdue accounts, confirmation statements, etc.) Insolvency indicators: Notice of Intent to Appoint Administrators Administration Liquidation CVAs Director changes: Appointments Resignations 3. Financial Data Enrichment (Important) Where available, the platform should also pull and display from latest filed accounts: Turnover / Revenue Balance sheet data (e.g. total assets, liabilities, net assets) This can be sourced from: Companies House filings (accounts data) Or via commercial data providers if more structured/standardised 4. Alert Triggers The platform must generate alerts when: A company’s credit score drops by 5% or more Include the exact percentage drop in the alert Any insolvency-related event is detected, including: Notice of Intent for Administration Administration Liquidation 5. Alert Delivery Alerts should be sent via: Email (minimum requirement) Ideally also: Slack / Microsoft Teams Web dashboard notifications 6. Reporting (Key Requirement) The system must automatically generate and send: Daily report Weekly report Monthly report Each report should be delivered as a spreadsheet (Excel or Google Sheets) and include: Columns to include (minimum): Company Name Company Number SIC Code Date of event/activity Type of event (e.g. credit score drop, insolvency notice, director change) Previous credit score New credit score % change in credit score Filing status (on time / overdue) Insolvency status Director changes (summary) Turnover (latest available) Key balance sheet figures (assets, liabilities, net position) Reports should clearly show date-stamped activity and allow filtering/sorting. 7. Dashboard / Interface (Preferred) A simple dashboard to: View and filter companies by SIC code Track alerts and risk levels View historical changes and trends Export data 8. AI / Intelligence Layer (Optional but Preferred) Identify early warning signals before insolvency Highlight patterns (e.g. repeated late filings + score decline) Rank companies by risk level or likelihood of distress Technical Requirements: Experience integrating APIs (Companies House + credit agencies) Ability to build automated data polling (scheduled jobs) Cloud-based database and infrastructure Alerting and reporting automation Scalable architecture Data Sources (Must Be Used): Companies House API (free, primary source) Commercial credit data providers such as: Creditsafe Experian Business Dun & Bradstreet Please advise on: Best provider(s) to use API access requirements Ongoing data/licensing costs Deliverables: Fully functioning monitoring and alert system Automated reporting (daily, weekly, monthly) Spreadsheet output format Documentation and user guidance Ability to adjust SIC codes and thresholds Optional ongoing support Nice to Have: CRM integration (e.g. Zoho) Webhooks for automation Customisable reporting Data visualisation Budget & Timeline: Open to proposals – please include: Estimated cost Timeline Recommended tech stack Relevant experience / similar projects

3D Shoebox création

As real estate investors, we require surgical precision for our architectural visualizations. We are looking for a rigorous 3D Modeler to transform our 2D floor plans into 3D Shoebox views (top-down 3D perspectives). The goal is to provide a crystal-clear, reliable vision of the volumes and layout for our investment projects and to give a more visual result to our clients Our Standard: We are not looking for pretty pictures or fluff; we need structural accuracy that reflects the real-world constraints of our projects. Your Mission: - Accuracy: Every wall thickness, structural element, and opening (windows/doors) must strictly match the 2D CAD/PDF plan. No artistic liberties taken with measurements. - Detailed Furnishing: Furniture and fixtures must be placed exactly according to the layout to validate the functional flow of the space. - Technical Integrity: If a load-bearing wall or a technical shaft is on the 2D, it must be reflected perfectly in the 3D. - Clean Shoebox Aesthetics: High-quality textures and lighting, but with a focus on realism, proportions, and structural clarity.

AI Automation & Ecommerce Integration Engineer

I'm looking to form a long term relationship with an AI developer. I have been specialising in performance marketing for the last 20 years. I have relationships with 100's of direct clients and other agencies, who I am starting to upsell AI solutions to. Attached is an example of a build I'm currently talking to an ecommerce client about. I'm looking for a developer with previous experience of integrating AI powered conversational agents with Shopify and workflow automation to work on this project and others moving forward. Medium term goal is to standardise/productise this type of build to reduce dev time on future projects and enable scaling. **AI Automation Engineer – eCommerce & Integrations**

Game ai maker

Seeking an experienced game AI developer to design and implement an adaptive, efficient AI system for an action-oriented game. Responsibilities include creating enemy and ally behaviors, pathfinding, decision-making logic, state machines or behavior trees, difficulty scaling, and performance optimization across platforms. Deliverables: modular, well-documented code, integration guidance, and test scenarios. Prioritize clean architecture, replayable emergent behaviors, and responsiveness.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

opportunity

Create M365 Agent for Customer Service Team

Develop an M365 agent for a customer service team that ingests SOPs and prior email threads with responses, analyzes context, and generates actionable next-step replies. The agent should accept pasted inquiry emails and produce clear, concise guidance or draft responses aligned with documented procedures and historical resolutions. Deliverables: integration design with Microsoft 365, data parsing, response-generation logic, accuracy validation, and documentation for team members to use and maintain the agent.

AI Automation Engineer (OpenClaw / AI Agent Setup)

Seeking an AI Automation Engineer to configure OpenClaw agent infrastructure on a Mac Mini server. Responsibilities include terminal setup, gateway configuration, API integration, agent orchestration, and development of a user-friendly dashboard to operate and monitor agents. Experience with AI agents, DevOps, and automation frameworks required. Definite multiple opportunities to grow with this future oriented company in the Real Estate Development and Investment field. Consideration given to proximity to St Petersburg, Florida, but all considered.

Open Claw set up and config

We seek an experienced freelancer to assist with the setup and configuration of Open Claw, an advanced open-source framework. The ideal candidate will possess a robust understanding of Claw agents, showcasing prior experience in building and integrating various agents. Your expertise in customizing workflows and enhancing system functionalities is essential. Please detail your previous projects involving Claw agents and any integrations you have successfully executed. This is an ad hoc opportunity, requiring a proactive individual who can deliver effective solutions promptly.

N8n Automation Specialist (Intermediate)

We are looking for an intermediate n8n user to assist with automating various business tasks and building reliable workflows. This will be ongoing work (as-needed), starting with 1–3 initial automations and then expanding as we identify more opportunities. What I need help with Building and improving n8n workflows for day-to-day automation Connecting tools via API integrations (REST), webhooks, and triggers Automating repetitive tasks like: Data syncing between apps (e.g., Excel/Slack/Notion/CRM) Email/Slack/Teams notifications Form submissions → routing → follow-ups File processing and structured data transformations Scheduled reports and automated updates Adding error handling, retries, logging, and alerts so workflows are stable Working with authentication methods (OAuth, API keys, tokens) Light custom logic using Function nodes (JavaScript) when needed Deliverables / expectations Quick discovery of the process (short call or written brief) Build workflows in n8n with clean structure and clear node naming Testing + edge-case handling (rate limits, duplicates, failed runs) Short documentation / handover notes for each automation Small improvements over time + ongoing maintenance Experience deploying/hosting n8n (Docker, VPS, cloud hosting) Familiarity with databases (Postgres/MySQL), webhook security, and queues Experience integrating common tools (Google Workspace, Slack, HubSpot, Shopify, Stripe, Trello, Asana, ClickUp, etc.) Communication / time zone I’m in Asia/Dubai time zone. Some overlap for messages/calls is preferred, but asynchronous is fine if you communicate clearly. To apply, please include A brief summary of your n8n experience 1–2 examples of workflows you’ve built (high-level description is fine) Your approach to error handling & monitoring in n8n Your hourly rate and availability this week.

B2B AI Lead Generation /Sales Automation - Community Development

We seek a skilled freelancer to assist our small community development organization in automating B2B lead generation and sales processes. The project involves streamlining the identification of potential affiliates and partners, as well as managing targeted email outreach. We possess an existing database of contacts but welcome collaboration to enhance our automated systems. The goal is to establish an efficient framework for lead generation and sales automation, starting with an initial pilot list. Your expertise will be vital in driving our outreach and engagement efforts effectively.

Ai-Powered Language Learning Platform

We are seeking a highly skilled AI/Machine Learning developer to extend and enhance the functionalities of our existing language learning platform. The core objective is to significantly improve the AI-driven exercise generation system to offer truly personalized and self-paced learning experiences for our users. The ideal freelancer will be responsible for developing and integrating advanced AI algorithms to create dynamic and adaptive exercises. This includes refining the intelligence behind exercise creation, ensuring content relevance, and adapting difficulty based on individual user progress and learning styles. Experience with natural language processing (NLP), machine learning frameworks, and educational technology is highly desirable. The goal is to make the platform more intelligent and effective in facilitating language acquisition.

opportunity

AI Sales Automation Expert: Build Data & Outreach Workflow

I am looking for an expert in AI-driven sales orchestration to help scale the GTM (Go-To-Market) engine for a specialized industrial product called TorqCut (onshore hydraulic chopsaws for the piling, decommissioning, and demolition markets). What I’ve done so far: I previously built a customized salesflow using: Gemini for deep market and company research. Salesrobot for LinkedIn outreach (I will continue to manage this part myself). Lindy.ai for customized email workflows. The Problem: While the "Deep Research" identified the right companies, the email data was often inaccurate or stale. I am seeing too many "wrong" contacts or bounces, which is wasting automation credits and harming deliverability. The Goal: I need to insert a high-quality service into the middle of this flow that can find and verify high-integrity contact data (specifically Lead Engineers, Procurement Managers, and Operations Directors) before they hit the outreach stage. My Current Thinking: I am currently deciding between Clay and Apollo.io as the data engine. I am leaning toward Clay because of its "waterfall enrichment" and "Claygent" capabilities, which could allow us to scrape prospect websites for specific technical signals (e.g., companies that own 8–24 tonne excavators, which are the required carriers for our TQ-16 to TQ-32 models). I already have Lindy.ai set up and working for the outreach layer, so the solution must integrate seamlessly with it although I am open to better alternative setups to achieve the same result The Ask: I am looking for an expert to: Assess the current stack: Are Apollo or Clay still the best data engines for industrial/construction leads in 2026, or is there a superior AI-first solution I’m missing? Build the "Middle Layer": Set up a robust, automated workflow that takes my research/signals and provides "Golden Records" (95%+ verified emails). Optimize for Scale: I want to reach approximately 1,000 targeted prospects per month at an efficient cost. Integration: Ensure the verified data flows automatically into my existing Lindy.ai sequences or a superior alternative is provided. Important Note: I am fully open to other ideas. If you believe there is a "better way" to achieve this using new autonomous AI SDR agents (like 11x.ai, Artisan, etc.) or a different tech stack that is more efficient or cost-effective than what I’ve proposed, I want to hear your recommendation. Requirements: Proven experience with Clay (waterfall enrichment, Claygent) or Apollo.io. Experience with Lindy.ai or similar autonomous AI agents. Deep understanding of B2B data verification and deliverability (SMTP handshakes, catch-all detection) . Ability to demonstrate how you’ve scaled outreach to 1,000+ leads/mo previously. Please include in your proposal: Which data engine you recommend for the industrial cutting/engineering market and why. A brief overview of how you would structure the workflow from "Signal" to "Sent Email." Estimated monthly tool/software costs for 1,000 verified leads. Looking forward to hearing your ideas!