You will get AI Agent for Business Automation & Decision Workflows
Project details
I build production-ready AI agents that automate real business workflows, integrate with your systems, and operate as intelligent automation systems — not simple chatbots.
These solutions can call APIs, process structured data, interact with databases, and execute multi-step tasks in real business environments. The focus is on building reliable, scalable systems that replace manual operations with AI-driven automation.
Each project is fully custom-built for production use, including architecture, integrations, backend implementation, and deployment.
What is included:
• AI agent design & system architecture
• LLM integration (OpenAI / Claude / Gemini)
• Workflow automation & business logic
• API integrations (external & internal systems)
• Tool/function calling & multi-step flows
• Data processing & structured outputs
• Backend development (Python / Node.js)
• Database integration (PostgreSQL or similar)
• Production deployment setup
• Full source code & documentation
Key tech: AI Agents, LLMs, Prompt Engineering, API Integration, Backend Development, Python, Node.js, System Architecture, Workflow Automation, PostgreSQL, Docker, Cloud Deployment
These solutions can call APIs, process structured data, interact with databases, and execute multi-step tasks in real business environments. The focus is on building reliable, scalable systems that replace manual operations with AI-driven automation.
Each project is fully custom-built for production use, including architecture, integrations, backend implementation, and deployment.
What is included:
• AI agent design & system architecture
• LLM integration (OpenAI / Claude / Gemini)
• Workflow automation & business logic
• API integrations (external & internal systems)
• Tool/function calling & multi-step flows
• Data processing & structured outputs
• Backend development (Python / Node.js)
• Database integration (PostgreSQL or similar)
• Production deployment setup
• Full source code & documentation
Key tech: AI Agents, LLMs, Prompt Engineering, API Integration, Backend Development, Python, Node.js, System Architecture, Workflow Automation, PostgreSQL, Docker, Cloud Deployment
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included $1,800
These options are included with the project scope.
$1,800
- Delivery Time 10 days
- Number of Revisions 2
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Source Code
Frequently asked questions
About Vira
LLM Agent Engineer | RAG & Multi-Agent Systems | Node.js, PHP/Laravel
Chernivtsi, Ukraine - 12:13 pm local time
📦 What I deliver:
→ Multi-agent orchestration (LangChain, CrewAI, agent collaboration)
→ RAG pipelines with vector databases (pgvector, Pinecone, FAISS)
→ Document AI (extract data, fill forms, structured outputs)
→ Conversational assistants (tax, legal, internal tools)
→ LLM + ML combination (classification, analysis, predictions when needed)
→ Integration into existing apps (Node.js, Laravel, Python backend)
→ Full-stack implementation (backend, frontend, API, deployment)
💼 15+ years full-stack experience - Node.js, PHP/Laravel, Python, React, Vue.js, PostgreSQL, Docker, AWS. In the last few years, most of my work is AI built into real products: SaaS platforms, enterprise tools, internal automation.
📌 Recent projects:
1. Multi-agent document processor (Tech Lead)
→ Turns contracts into structured estimates through chat-based refinement
→ LangChain + GPT-4 + pgvector + multi-agent orchestration
→ Node.js backend, Vue.js frontend, Docker deployment
2. Conversational tax assistant
→ RAG system with vector DB for domain-specific knowledge
→ Extracts data from documents, fills forms, handles submission end-to-end
→ Python backend, React frontend, PostgreSQL
3. Market research AI service
→ LLM for automated report generation
→ ML (scikit-learn, pandas) for statistical analysis: crosstabs, conjoint, MaxDiff, sentiment
→ Laravel + Node.js + Vue.js, mobile apps with Flutter, payments, real-time sync
4. Video production AI pipeline
→ Multi-service platform for video processing automation
→ AI agents for transcription, summarization, metadata extraction
→ Python, FastAPI, AWS, Docker
🛠 Services I offer:
→ Build LLM agent from scratch (multi-agent, RAG, custom workflows)
→ Add AI to existing Laravel/Node.js/Python app
→ Document processing automation (extract → classify → output)
→ Conversational assistant for internal tools or customer support
→ LLM + ML combination for analytics/classification
→ API integration (OpenAI, Anthropic, Gemini, custom models)
→ Full-stack development (backend, frontend, deployment)
🔧 I can work on:
→ AI layer only (agents, RAG, prompts)
→ Backend only (Node.js, PHP, Python)
→ Frontend only (React, Vue, Angular)
→ Full stack (all of it)
→ Technical leadership (architecture, team coordination)
✉️ Tell me what you're building and where you're stuck - happy to take a look.
#LLMApplicationDevelopment, #AIAgentDevelopment, #RetrievalAugmentedGeneration, #RAG, #MultiAgentSystems, #LangChain, #OpenAIAPI, #ClaudeAPI, #GeminiAPI, #PromptEngineering, #ConversationalAI, #DocumentAI, #MachineLearning, #ArtificialIntelligence, #VectorDatabases, #pgvector, #Pinecone, #FAISS, #KnowledgeBaseAI, #SemanticSearch, #AIWorkflowAutomation, #DataExtraction, #OCR, #APIDevelopment, #APIIntegration, #RESTAPI, #NodeJS, #NestJS, #Python, #PHP, #Laravel, #PostgreSQL, #Redis, #Docker, #AWS, #TypeScript, #React, #VueJS, #FullStackDevelopment, #SaaSDevelopment
Steps for completing your project
After purchasing the project, send requirements so Vira can start the project.
Delivery time starts when Vira receives requirements from you.
Vira works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Workflow Analysis
I collect and analyze your business requirements, existing tools, and workflows to define what the AI agent should automate and how it will operate inside your system.
System Architecture Design
I design the AI agent architecture, including LLM setup, tool usage, API integrations, data flow, and overall system structure for scalable production use.