You will get a Custom AI Agent with Core Backend Integration (FastAPI & Redis)
Project details
Most AI integrations fail because basic wrappers cannot handle complex corporate logic or state memory. I build robust, autonomous AI Agents backed by a high-performance backend infrastructure tailored to your system.
What is included in the packages:
• AI Agent Prototype (Starter): Custom prompt engineering, core LLM integration (OpenAI/Claude), standard API routing, and input/output validation. Perfect for rapid prototyping.
• Production AI Agent (Standard): Advanced agentic execution layers, real-time context memory retention using Redis, custom database schema, and secure data storage with Supabase.
• Enterprise Infrastructure (Advanced): Multi-agent orchestration pipelines, advanced RAG over private corporate data, MLOps setup, performance optimization, and full secure production deployment.
Tech Stack Highlights:
• Backend: FastAPI (Python), RESTful APIs, Webhooks.
• State & Cache: Redis (low-latency session memory).
• Database & Vector Layer: Supabase, PostgreSQL, Pgvector.
Eliminate manual bottlenecks. Choose the package that fits your operational needs, and let’s architect an AI system built to scale.
What is included in the packages:
• AI Agent Prototype (Starter): Custom prompt engineering, core LLM integration (OpenAI/Claude), standard API routing, and input/output validation. Perfect for rapid prototyping.
• Production AI Agent (Standard): Advanced agentic execution layers, real-time context memory retention using Redis, custom database schema, and secure data storage with Supabase.
• Enterprise Infrastructure (Advanced): Multi-agent orchestration pipelines, advanced RAG over private corporate data, MLOps setup, performance optimization, and full secure production deployment.
Tech Stack Highlights:
• Backend: FastAPI (Python), RESTful APIs, Webhooks.
• State & Cache: Redis (low-latency session memory).
• Database & Vector Layer: Supabase, PostgreSQL, Pgvector.
Eliminate manual bottlenecks. Choose the package that fits your operational needs, and let’s architect an AI system built to scale.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$350
|
Standard
$950
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 25 days |
Number of Revisions | 2 | 3 | 4 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $600
Additional Revision
+$50
1 Month of Post-Deployment MLOps & Infrastructure Support
(+ 1 Day)
+$500Frequently asked questions
About Aleksei
AI Systems Engineer | LLM Architect | Automation & Agentic AI
Odesa, Ukraine - 9:48 pm local time
Whether you need a proprietary AI decision layer built from scratch, custom open-source LLM orchestration, or resilient, error-proof automation pipelines integrated into your infrastructure — I handle the entire lifecycle from architecture to deployment.
Core Expertise & Tech Stack:
AI/ML & LLMs: Custom prompt logic, Function Calling, Advanced RAG, Open-Source models (Llama, Mistral), OpenAI, Anthropic Claude.
Advanced Process Automation: Architecting resilient, multi-conditional workflows using self-hosted n8n and Make.
Backend & Microservices: High-performance API middleware and backend routing developed with FastAPI and Node.js.
State & Infrastructure: Scalable data layers with Supabase / PostgreSQL, and real-time context/memory retention using Redis.
How I Drive Value for Your Business:
Custom Enterprise Implementations: Transforming your unique operational bottlenecks into autonomous, self-healing AI-driven workflows.
Intelligent Data Pipelines: Automated extraction, structuring (LLM-based parsing), and seamless data synchronization across your entire stack (CRMs, databases, internal tools).
Production-Ready Solutions: I prioritize clean architecture, strict error-handling, data validation, and measurable business outcomes over experimental code.
Ready to build the next generation of AI automation? Let’s connect and talk architecture.
Steps for completing your project
After purchasing the project, send requirements so Aleksei can start the project.
Delivery time starts when Aleksei receives requirements from you.
Aleksei works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Design & API Blueprinting
Defining system requirements, mapping out custom prompt logic, and setting up the core FastAPI routing structure.
Core AI & Backend Integration
Developing the agent's core decision layer, implementing LLM orchestration, and configuring memory/state retention with Redis.