You will get Custom AI Chat (LLM) Integration with OpenAI, Gemini and etc implementation


Project details
As a seasoned full-stack developer specializing in AI integrations, I offer comprehensive LLM implementation services. With extensive experience in OpenAI, Google Gemini, and GitHub Copilot integrations, I deliver scalable, cost-effective AI solutions. My expertise includes custom prompt engineering, API optimization, and seamless integration with existing systems, ensuring your project gets the most value from AI technology.
Programming Languages
Python, Java, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$299
|
Standard
$599
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 1 | 2 | 3 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$499 - $1,499
Additional Revision
+$99
API Cost Management
(+ 2 Days)
+$299
Extended Support Package
+$499
Custom Training Sessions
(+ 1 Day)
+$399Frequently asked questions
About Bakhtier
Software Development Engineer
Aachen, Germany - 6:56 am local time
With 15+ years of hands-on experience in the field, I am able to approach each project with a fresh perspective, considering both the technical and business aspects to deliver optimal results. My ability to adapt quickly and effectively to new challenges, along with my passion for learning, makes me a valuable asset to any team. I am confident in my ability to deliver high-quality, scalable, and maintainable software that meets the needs of any business.
Steps for completing your project
After purchasing the project, send requirements so Bakhtier can start the project.
Delivery time starts when Bakhtier receives requirements from you.
Bakhtier works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation and Requirements Analysis
Review technical requirements and project scope, Analyze current system architecture, Define API integration points, Establish project timeline
Development and Implementation
Set up development environment, Implement chosen LLM integrations, Configure prompt engineering, Develop monitoring and analytics, Optimize API usage and costs
