You will get AI features integrated into your app to boost efficiency & user experience
Top Rated
Top Rated
Project details
I deliver smart, custom AI solutions tailored to your project’s needs. From simple AI features to full-scale AI-powered systems with detailed documentation, I focus on clean code, seamless integration, and clear communication, ensuring your project runs smoothly and delivers real value.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Deeplearning4j, Google AutoML, Keras, MATLAB, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$400 - $2,500
Additional Revision
+$100
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About Abenezer
AI Backend Developer | Production RAG Systems & LLM Chatbots | Python
100%
Job Success
Addis Ababa, Ethiopia - 6:01 pm local time
I build backend systems and AI integrations that hold up in production - not demos that break under real usage. Over 5+ years, I've helped startups and growing businesses ship RAG pipelines, LLM-powered chatbots, and API infrastructure that actually gets used by real customers.
𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼:
• Backend Development: Python (Django, FastAPI), Node.js (Express/Nest), API architecture
• AI & LLM Integration: Custom RAG systems, LangChain, LLM orchestration, AI chatbots and assistants
• Cloud & DevOps: AWS (Lambda, EC2, S3, ECS), Docker, CI/CD, Nginx
• Data & APIs: REST/GraphQL, PostgreSQL, MongoDB, Redis, vector databases
• Payments & Integrations: Stripe, Supabase, third-party API integrations
𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸:
• 10+ production-grade applications shipped with a focus on reliable backend and AI features
• Deep hands-on experience with OpenAI + LangChain + RAG for document processing and conversational AI
• Fast response time (0 – 0.5 hrs average) and clear communication - projects stay on track
If you need someone to own the AI layer end-to-end - architecture, integration, and deployment, not just a prototype - I'd like to hear about what you're building.
Steps for completing your project
After purchasing the project, send requirements so Abenezer can start the project.
Delivery time starts when Abenezer receives requirements from you.
Abenezer works on your project following the steps below.
Revisions may occur after the delivery date.
Clarify requirements and confirm project scope
Ensure all details, files, and expectations are clear and Ask any questions needed to avoid misunderstandings.
Complete the project following the defined steps
Check off progress in the project workroom to keep the client updated.