AI Agent development

Budget: 400 USD Deadline: 30 days

Hello! I have read your requirements and I am fully prepared to develop a robust AI agent for your fleet analysis system. With 4 years of experience in Fullstack development and a deep background in system architecture (including building my own Arch-based OS), I focus on creating stable, scalable, and well-documented solutions.
My approach to your project:
Data Pipeline: I will set up a reliable integration via n8n or a custom backend to ensure seamless data flow and prevent duplicates.
Database Architecture: I will design a structured PostgreSQL schema optimized for analytical processing, including comprehensive event logging.
AI Integration: I will implement precise data extraction logic to transform raw inputs into structured insights.
Admin Interface: I will build a clean, secure web dashboard for easy system management.
I am highly interested in long-term collaboration and can dedicate my full attention to this project right now. Let’s discuss the data sources and your specific requirements for the extraction logic.

Budget: 800 USD Deadline: 10 days

Greetings!
I am interested in working on your project.
I'll be able to develop an AI Agent with API integration and database integration using n8n.
DM me, we'll discuss all details and choose the best option for you.

Budget: 450 USD Deadline: 10 days

Good day!
My name is Dmytro, a representative of King Kong Web.

We have reviewed your technical assignment regarding the development of an AI agent. We have experience in creating backend solutions with integration of external APIs, automation through triggers and schedules, data processing, and storing results in PostgreSQL.

We are ready to implement an agent that will receive data from a specified source, process only new entries without duplication, store unique identifiers, and maintain an error log. We will design the database structure, configure the DBMS, and ensure the correct storage of structured data for further analytics.

We can also implement a minimal web interface with authorization (Administrator role), prepare documentation, a deployment guide, and conduct a demonstration of the system's operation.

We work systematically and responsibly, and we are interested in long-term cooperation. We are ready to discuss the details of data sources, load, and expected format of results to provide an accurate estimate of timelines and budget.

Budget: 300 USD Deadline: 15 days

Hi, hope you're doing well!

I am a backend developer with strong experience building AI agents for data processing automation. I have worked on systems integrating external APIs, n8n workflows, and structured data extraction with PostgreSQL storage.

I will develop an AI agent that processes incoming data from your defined sources with scheduled or trigger execution, handles only new records with duplicate prevention, extracts structured data using AI processing logic, logs all errors and events, and stores everything in PostgreSQL with optimized schema for analytical queries.

I will set up PostgreSQL database configuration, build a minimal web interface with administrator authentication, provide source code with deployment instructions and API documentation, and demonstrate the agent processing real data.

I am not overloaded with other projects and can dedicate full attention to this development. I am interested in long term collaboration.

Available to start immediately and looking forward to discussing the details!

Thanks,
Youssef Hachicha Expand

Budget: 300 USD Deadline: 10 days

Good day! I represent the Nexus Core team. We act as a dedicated technical department for media buying teams and businesses, handling all IT complexities while you focus on operations. We have carefully reviewed your requirements for developing an AI agent for automated data processing and structuring. This project aligns perfectly with our expertise in automation and high-load infrastructure. To ensure a robust solution, we propose our priority technical stack: Node.js and Nest.js for the backend, PostgreSQL with Prisma ORM for database architecture, and Next.js for a clean administrative interface. Our approach involves implementing sophisticated n8n workflows for seamless integration with external sources, coupled with OpenAI API for intelligent content analysis and data extraction. We will implement strict deduplication logic, unique record identification, and comprehensive error logging to ensure data integrity. The entire system will be containerized using Docker to facilitate easy deployment and scalability. Since we prioritize long-term cooperation and systemic thinking, we provide full technical documentation and support according to our SLA. Before we proceed, we have a few technical questions: which specific external sources are planned for initial integration via API, what is the expected daily volume of data for AI processing, and do you require specific data visualization dashboards within the admin panel for fleet analysis? While our cases are protected by NDA, we are ready to discuss the logic of similar automation projects in private messages. Final costs and timelines will be determined based on the finalized scope of integrations and AI prompt complexity. Please send us a private message—we will clarify the details and provide a fixed cost with a breakdown by stages and agreed timelines.

Budget: 300 USD Deadline: 14 days

Your main concern is reliable, duplicate-free ingestion of incoming data from varied sources, followed by accurate AI extraction of structured fields and clean storage in PostgreSQL — so your fleet analytics remain trustworthy and actionable without manual cleanup.

I propose a tight n8n-based workflow: webhook/schedule trigger → AI Agent node (OpenAI / Gemini / Ollama) with strict JSON schema output for extraction → PostgreSQL upsert using unique record identifier (hash or source ID) → error logging to dedicated table. A lightweight admin dashboard (simple Go + HTMX or n8n-hosted Express) lets you monitor processed items, failed attempts, and re-run logic when needed.

This delivers a zero-duplicate, production-ready data pipeline with minimal custom code.

Also, it makes sense to consider additions:
- Add monitoring & alerting package
- Extend to the full fault-tolerant version

Budget: 300 USD Deadline: 2 days

Hello. I am ready to complete this project and have extensive experience developing various applications

Budget: 600 USD Deadline: 10 days

Hello!
I have carefully reviewed your project requirements for an automated AI agent. Given my background in Fullstack Development and Cybersecurity, I can build a robust, secure, and systematic pipeline that handles everything from data ingestion to structured storage and administrative oversight.
How I Will Meet Your Requirements:
• Systematic Data Processing: I will implement a Node.js-based backend to handle incoming data via triggers (API/webhooks). To prevent duplicates and ensure reliability, I will use unique record identifiers and comprehensive logging.
• PostgreSQL Architecture: I have extensive experience designing relational database schemas and optimizing them for high-volume operations. I will ensure your PostgreSQL setup is configured for both data integrity and future analytical fleet analysis.
• Automation & Integration: My experience includes building RESTful and GraphQL APIs to bridge external services and internal databases seamlessly. I am familiar with automation logic (similar to n8n) to ensure scheduled or trigger-based executions work without manual intervention.
• Secure Admin Interface: I will develop a clean, responsive React dashboard for your "Administrator" role, featuring secure JWT-based authentication and password hashing (bcrypt) to protect access.

Budget: 450 USD Deadline: 14 days

Hi! Your project is a perfect match for my current focus. I’m actually developing a project with PostgreSQL right now, so I’m "in the zone" with its architecture and optimization.

Why I’m the right developer for you:

- Database Architect: I don't just store data; I build reliable, duplicate-proof PostgreSQL schemas designed for deep analysis.

- Automation Pro: Extensive experience building APIs and integrating services (like n8n) with a focus on strict logging and error handling.

- AI-Enhanced Workflow: I use tools like Cursor for rapid prototyping, delivering high-quality, documented code (70%+ test coverage).

- Full Dedication: I have the capacity to fully commit to your project and am looking for a long-term partnership.

- Show, don't just tell: I’d love to share my GitLab repository link with you. You can review my coding style and how I structure complex logic.

I’m ready to dive in and discuss your data sources. Let’s build something great!

Best regards,
Viktoriia Expand

Budget: 450 USD Deadline: 14 days

Hello. I am ready to implement an AI agent in Python (FastAPI) with integration of external sources/API/n8n, processing only new records (anti-duplicate, unique IDs), logging events/errors, and storing structured data in PostgreSQL. I will also create a minimal web interface with authorization (Admin), documentation (API + deployment), and demonstrate the solution's functionality — I can take on the project with a focus on long-term collaboration.

Budget: 450 USD Deadline: 10 days

Hello.
I can deliver a fully working AI Agent system within 10 days.
The solution will include:
1️⃣ Data Ingestion Layer
Integration with defined external source (API / webhook / scheduled fetch)
Structured data normalization
Rate-limit handling and retry strategy
Idempotent ingestion to prevent duplicates

2️⃣ Processing Layer (AI Pipeline)
AI-based processing (classification / summarization / analysis as required)
Deterministic pipeline structure
Background processing logic
Error handling and logging

3️⃣ Database Layer (PostgreSQL)
Proper relational schema design
Deduplication logic (hash-based or key-based)
Indexing for performance
Migration-ready structure

4️⃣ Backend API
Clean REST endpoints
Authentication (JWT/session-based)
Secure access control
Logging and request validation

5️⃣ Minimal Web Admin Interface
Secure login
Data overview dashboard
Filtering / search capability
Basic monitoring view

6️⃣ Deployment-Ready Structure
Environment configuration
Docker-ready setup
Documentation for installation
Demo walkthrough
The system will be structured for stability, maintainability, and future scaling.

I’m ready to start after confirming final technical details. Expand

Budget: 350 USD Deadline: 10 days

Good morning,

I am involved in building automation and AI Agents in the n8n environment. I can implement the described project.

I can fulfill all the described requirements:

1. An AI Agent receiving data from an external source (API/webhook/form), processing the content, and extracting structured data.
2. PostgreSQL database - schema, configuration, storing processed records with deduplication and event logging.
3. Processing at a set interval or based on a trigger.
4. Minimal web interface with authentication.
5. Documentation, implementation instructions, demo.

Examples of implementations from my portfolio: https://www.notion.so/About-me-2a440d29dae48015b5f4eade5daad661

I invite you to contact me to discuss the details.

Best regards,
Adam Expand

Budget: 300 USD Deadline: 3 days

Hello! I have reviewed the project and am ready to start working. I am sure you will be satisfied with the result.

Budget: 420 USD Deadline: 10 days

Application for AI Automation Engineer

Hello! My name is Vladyslav. I specialize in developing autonomous AI agents powered by n8n with seamless integration into relational databases (PostgreSQL).

Your project is perfectly clear to me: you need more than just simple automation—you require a robust ETL pipeline with intelligent data processing. I have experience building systems where n8n acts as the process orchestrator, while the database ensures data integrity and prevents duplication.

How I will implement your project:

Data Architecture: I will design a PostgreSQL schema utilizing Primary Keys and ON CONFLICT DO NOTHING logic. This ensures your requirement for duplicate prevention is handled efficiently at the database level.

n8n Workflow: I will configure agents to operate on schedules or triggers. I will implement LLM Structured Outputs to guarantee that data is extracted in the precise JSON format required for your fleet analysis.

Logging & Security: I will build a dedicated error logging system within the DB, giving you full visibility into every processing iteration and event.

Interface & Deployment: For the web interface with authentication, I recommend using Retool or AppSmith for a professional admin panel, or a lightweight Python backend. I will deploy the entire project via Docker Compose to ensure stability and easy installation.

Why choose me:

Systems Thinking: I understand the principles of DBMS and backend development, allowing me to build scalable rather than temporary solutions.

Full Deliverables: I will provide the source code, API documentation, and clear deployment instructions.

Dedicated Focus: I am ready to dedicate my full attention to this project and am interested in a long-term collaboration. Expand

Budget: 300 USD Deadline: 10 days

Hello. I am interested in your project. Creating an AI agent that processes data from external sources sounds complex, and it is essential to consider all technical details for successful implementation. It will be necessary to set up interaction with the API, develop a logging system and error alerting, as well as think through the database architecture for storing structured data. Given the scope of work, my proposal is $300. I plan to complete the task in 14 days, considering possible corrections and testing. I look forward to your thoughts.

Budget: 300 USD Deadline: 1 day

Good afternoon, I have extensive experience in backend development and integration of external services. I am ready to create an AI agent that automatically receives data from APIs or other sources, processes it, extracts structured information, and stores the results in a database for further analysis.

I suggest we move to private messages for a more detailed discussion of the technical specifications, working hours, and costs.

Budget: 300 USD Deadline: 8 days

Good day!

I think my previous order is very similar to the one you proposed:
https://freelancehunt.com/showcase/work/automation-for-cleaning-company/2020492.html

I also have experience with PostgreSQL/AI/BackEnd, here are examples:
https://freelancehunt.com/showcase/work/google-extension-for-receiving-sms/2014210.html
https://freelancehunt.com/showcase/work/automation-of-sorting/2014866.html

If you are interested, we can discuss everything in private messages.

Budget: 300 USD Deadline: 111 days

I’m interested in developing your AI agent and fully understand the scope: automated data intake (API/webhook/n8n), structured AI-based processing, deduplication, secure storage in PostgreSQL, logging, and a minimal admin interface.
I have strong backend experience (Node.js / Python), solid PostgreSQL expertise (schema design, indexing, performance), and hands-on work with automation tools and external integrations. I build clean, scalable systems with proper error handling and structured architecture.
I can dedicate full focus to this project and am open to long-term collaboration.
Ready to discuss technical details and timelines.

Budget: 300 USD Deadline: 7 days

Good day, Kirill
I have strong backend, database and AI skills
I would be happy to complete your project. I look forward to your feedback
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Bună ziua, Kirill
Am abilități solide de backend, baze de date și inteligență artificială.
Aș fi bucuros să finalizez proiectul tău. Aștept cu nerăbdare feedback-ul tău.