You will get AI features to your SaaS: chatbot, RAG, automation, document extraction
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Project details
Built production AI features including RAG pipelines, AI chatbots, document/data extraction flows, vector search integrations, WebSocket-based chat systems, and automation workflows using OpenAI, LangChain, Python, Node.js, PostgreSQL, and vector databases.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Image Upscaling, Image-to-Image Translation, Object Localization, Sentiment Analysis, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging FaceAI Models
ChatGPT, DALL-E, Dolly, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included $6,000
These options are included with the project scope.
$6,000
- Delivery Time 10 days
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Documentation
- Model Tuning
- Prompt Engineering
- Setup File
- Source Code
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About Ashish
Senior Backend & AI Engineer | Node.js, Python, LLM Systems, AWS
100%
Job Success
Bengaluru, India - 8:11 pm local time
My core stack is Node.js, TypeScript, Python, PostgreSQL, AWS, Cloudflare, Redis, and LLM APIs. I work across backend architecture, AI integrations, APIs, databases, infrastructure, payments, and production reliability.
At WhyDonate, I work on systems serving 4M+ API requests per day and supporting €1.5M+ in monthly payment volume. My work has included reducing API latency by ~70%, building event-driven data pipelines, payment and payout systems, queue-based processing, Elasticsearch synchronization, and improving CI/CD from roughly 6 minutes to around 1 minute.
I also work with AI and LLM-based systems, including:
* LLM API integration and production AI features
* RAG pipelines and retrieval architecture
* AI-generated code and response evaluation
* Prompt and response quality analysis
* Structured output and JSON validation
* Evaluation of technical correctness, edge cases, and hallucinations
* AI gateways, inference routing, and observability
What I can help you with
* Backend architecture for SaaS and AI products
* Node.js / TypeScript / NestJS APIs
* Python / FastAPI backend development
* AI and LLM integrations
* RAG systems and vector/retrieval workflows
* AI coding evaluation and technical response review
* PostgreSQL, MySQL, Redis, Elasticsearch
* AWS architecture and deployment
* Cloudflare Workers and edge systems
* Stripe and payment infrastructure
* Performance optimization and scalability
* Queues, background jobs, and event-driven systems
* CI/CD, Docker, Nginx, PM2, and production deployments
* Debugging and stabilizing existing production systems
I’ve worked on fintech, fundraising, marketplaces, logistics, real estate platforms, and AI-enabled SaaS products.
I’m most useful when a project needs someone who can go beyond implementing tickets: understand the architecture, identify what is actually causing the problem, and ship a solution that will hold up in production.
If you need a backend or AI engineer who can take ownership of a system from architecture through deployment, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Ashish can start the project.
Delivery time starts when Ashish receives requirements from you.
Ashish works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering