You will get LLM & RAG Pipeline Engineer | GCP · AWS · Python · Production-Ready
Project details
Most LLM projects fail in production — not because the AI is bad, but because the engineering around it isn't built to last. I specialize in exactly that gap: designing and deploying RAG pipelines and LLM systems that are production-ready from day one, with proper monitoring, cost controls, and cloud infrastructure that scales.
I've implemented LLM-based solutions for enterprise clients at Google (via Globant), built a fintech platform serving 1,000+ daily users with 99.9% reliability (Welli), and led cloud migrations at Warner Media Discovery and Autodesk. I hold Google's Professional Cloud Architect certification and have 10+ years in software engineering.
What you get isn't just working code — it's a system with observability, clear documentation, CI/CD, and architecture you can build on. I communicate clearly, deliver on time, and treat your project like a senior engineer would, not a ticket to close.
I've implemented LLM-based solutions for enterprise clients at Google (via Globant), built a fintech platform serving 1,000+ daily users with 99.9% reliability (Welli), and led cloud migrations at Warner Media Discovery and Autodesk. I hold Google's Professional Cloud Architect certification and have 10+ years in software engineering.
What you get isn't just working code — it's a system with observability, clear documentation, CI/CD, and architecture you can build on. I communicate clearly, deliver on time, and treat your project like a senior engineer would, not a ticket to close.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Anomaly Detection, Natural Language Generation, Synthetic Data Generation, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Tools
Hugging Face, PyTorch, TensorFlowAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 1 | 2 | 3 |
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.
Additional Revision
+$200Frequently asked questions
About Eliécer Urbano
Python Developer, Software designer
Bogotá, Colombia - 10:05 am local time
Experience with long systems and best practices.
Experience as tech lead and mentor.
Steps for completing your project
After purchasing the project, send requirements so Eliécer Urbano can start the project.
Delivery time starts when Eliécer Urbano receives requirements from you.
Eliécer Urbano works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope definition
30-min call to review your data sources, use case, and technical constraints. We align on deliverables, timeline, and stack before any code is written.
Architecture design & blueprint
RAG pipeline design, model selection, vector store choice, and infra plan. Shared with you as a document for feedback before development starts.