AI-Powered Automation & Backend Systems (Python + LLMs) by Josh McdonaghAI-Powered Automation & Backend Systems (Python + LLMs) by Josh Mcdonagh
AI-Powered Automation & Backend Systems (Python + LLMs)Josh Mcdonagh
Cover image for AI-Powered Automation & Backend Systems (Python + LLMs)
I build custom AI-powered backend tools that combine GPT, Claude, or local models (like Ollama) with clean, automation-ready infrastructure. Whether you need to parse messy files, streamline internal workflows, or build an intelligent assistant, I deliver scalable systems that just work. My edge is deep Linux + backend experience fused with modern LLM integration.

What's included

AI-Powered Assistant Backend
A Python-based backend (FastAPI or Flask) that powers a conversational AI assistant. Handles prompt routing, data input/output formatting, and integrates with your chosen LLM (OpenAI, Claude, or Ollama).
Structured Data Parser
Custom logic to extract and clean data from PDFs, spreadsheets (Excel), or raw text. Outputs structured formats like JSON or database-ready objects, ready for further automation or use in your system.
Prompt Engineering + LLM Behavior Design
Custom system and user prompt chains tailored for your use case. Ensures consistent assistant behavior, smart suggestions, and safety-guarded outputs across different LLM platforms (GPT-4, Claude, Mistral, etc.).
Conversational UI
Lightweight frontend interface (Streamlit or React scaffold) to interact with the assistant. Useful for internal teams or demo workflows, supporting input, context tracking, and live response output.
API & Tool Integrations
Built-in validation and fallback handling to catch malformed input, config issues, or ambiguous responses. Flags problems and provides either user-facing clarification prompts or internal logs.
Deployment & Handoff
Fully packaged deliverable with deployment instructions (Docker optional), code walkthrough, and integration notes. Includes documentation or a handoff call to ensure your team can maintain and extend the system.
Starting at$80 /hr
Tags
ChatGPT
Ollama
Python
AI Engineer
Automation Engineer
Backend Engineer
Service provided by
Josh Mcdonagh Vancouver, Canada
1
Followers
AI-Powered Automation & Backend Systems (Python + LLMs)Josh Mcdonagh
Starting at$80 /hr
Tags
ChatGPT
Ollama
Python
AI Engineer
Automation Engineer
Backend Engineer
Cover image for AI-Powered Automation & Backend Systems (Python + LLMs)
I build custom AI-powered backend tools that combine GPT, Claude, or local models (like Ollama) with clean, automation-ready infrastructure. Whether you need to parse messy files, streamline internal workflows, or build an intelligent assistant, I deliver scalable systems that just work. My edge is deep Linux + backend experience fused with modern LLM integration.

What's included

AI-Powered Assistant Backend
A Python-based backend (FastAPI or Flask) that powers a conversational AI assistant. Handles prompt routing, data input/output formatting, and integrates with your chosen LLM (OpenAI, Claude, or Ollama).
Structured Data Parser
Custom logic to extract and clean data from PDFs, spreadsheets (Excel), or raw text. Outputs structured formats like JSON or database-ready objects, ready for further automation or use in your system.
Prompt Engineering + LLM Behavior Design
Custom system and user prompt chains tailored for your use case. Ensures consistent assistant behavior, smart suggestions, and safety-guarded outputs across different LLM platforms (GPT-4, Claude, Mistral, etc.).
Conversational UI
Lightweight frontend interface (Streamlit or React scaffold) to interact with the assistant. Useful for internal teams or demo workflows, supporting input, context tracking, and live response output.
API & Tool Integrations
Built-in validation and fallback handling to catch malformed input, config issues, or ambiguous responses. Flags problems and provides either user-facing clarification prompts or internal logs.
Deployment & Handoff
Fully packaged deliverable with deployment instructions (Docker optional), code walkthrough, and integration notes. Includes documentation or a handoff call to ensure your team can maintain and extend the system.
$80 /hr