You will get a Production Python Backend with FastAPI & API Integration
Project details
You'll get the backend behind your AI product built right. FastAPI services, clean API design, a database, authentication, async handling for LLM calls, and deployment. The foundation that decides whether your product is fast and reliable or slow and fragile.
AI products live or die on their backend. LLM calls are slow and flaky, so the backend has to handle async properly, queue long-running jobs, cache aggressively, and stay responsive under load. I build for exactly that — not a generic CRUD API with an OpenAI call stapled on.
You'll receive a FastAPI backend with clean, documented endpoints, database and auth set up, async and queue handling for AI workloads, and deployment to your platform (AWS / Docker). Built to scale and easy for your team to extend.
7+ years building Python and AI systems. Message me with what your product needs to do.
AI products live or die on their backend. LLM calls are slow and flaky, so the backend has to handle async properly, queue long-running jobs, cache aggressively, and stay responsive under load. I build for exactly that — not a generic CRUD API with an OpenAI call stapled on.
You'll receive a FastAPI backend with clean, documented endpoints, database and auth set up, async and queue handling for AI workloads, and deployment to your platform (AWS / Docker). Built to scale and easy for your team to extend.
7+ years building Python and AI systems. Message me with what your product needs to do.
Programming Languages
PHP, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$700
|
Standard
$1,600
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 35 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
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SE
Sean E.
Jun 7, 2026
Looking for Senior AI Backend Engineer – Conversational AI Platform
Jazay was great to work with again. He brings a strong mix of technical expertise, adaptability and clear communication, and was a trusted partner throughout the project. He stayed solution oriented from scoping through delivery, took ownership of outcomes, and kept things moving without overcomplicating the process. Would highly recommend reaching out and leaning on him for your project.
SE
Sean E.
Sep 13, 2024
Chatbot Pt 3
Jazay provides a rare combination of expertise, adaptability and quality of work. We built a dynamic LLM chatbot with custom logs, admin panels, prompt inputs - and Jazay was a trusted partner from scoping to go-live. Would highly recommend reaching out and leaning on him for your project!
SE
Sean E.
Jun 15, 2024
Chatbot Pt 2
Jazay provided a rare combination of expertise and high quality execution. He provided detailed, realistic and reasonable scopes of work - and helped build an LLM architecture with multiple complex requirements. Highly recommend choosing Jazay if you’re looking for a trustworthy development partner.
About Jazay
Generative AI Developer | LLM & RAG Systems | Python Backend
100%
Job Success
Peshawar, Pakistan - 10:33 pm local time
CORE STRENGTHS
LLM Integration: OpenAI, Claude, Gemini, and open-source models wired into real products, not demos
RAG Systems: retrieval pipelines with vector databases (Qdrant, Pinecone, Weaviate) for accurate document Q&A and semantic search
AI Agents: autonomous systems with multi-step reasoning, tool calling, and API execution
Production Deployment: AWS, Docker, and CI/CD for reliable, maintainable systems
Business focus: every build ties to a measurable outcome — lower response times, reduced manual work, faster retrieval
ABOUT ME
I'm a backend and AI engineer with 7+ years of professional experience building systems that solve real business problems. My work spans large language models, RAG, and full-stack Python development. At TalentPop I led AI initiatives across property tech and customer-service automation, shipping production systems used daily by real teams. My approach pairs solid engineering with business sense I want to understand the outcome you're after before I write a line of code.
SERVICES I DELIVER
LLM Integration & RAG Systems: Retrieval-Augmented Generation pipelines combining vector databases with language models for accurate document Q&A, knowledge retrieval, and context-aware responses.
Custom AI Agent Development: Autonomous systems capable of multi-step reasoning, API integration, and real-time decision execution. Ideal for lead qualification, support automation, and workflow orchestration.
Production Chatbot Development: Multi-channel conversational AI (web, WhatsApp, Telegram) with NLP understanding, sentiment analysis, and intelligent responses for customer engagement.
End-to-End ML Solutions: Predictive models and computer vision systems deployed with monitoring and retraining pipelines for continuous improvement.
PROBLEMS I SOLVE
Manual, repetitive support work → AI systems that handle routine conversations automatically and free up your team
Unstructured data nobody can search → RAG systems enabling fast semantic search across large document sets
Workflows that need constant manual oversight → AI agents that execute multi-step processes reliably
Raw data sitting unused → ML models that turn it into usable predictions and insight
TECH STACK
Languages: Python, TypeScript, JavaScript, Node.js
Web: FastAPI, Flask, Django, Nest.js
AI/ML: LangChain, Hugging Face, TensorFlow, PyTorch, Scikit-Learn
LLMs: OpenAI, Anthropic Claude, Google Gemini, RASA
Vector DBs: Qdrant, Pinecone, Weaviate
Data: PostgreSQL, MongoDB, Redis, Apache Kafka
Cloud/DevOps: AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions
Let's talk about what you're trying to build.
Steps for completing your project
After purchasing the project, send requirements so Jazay can start the project.
Delivery time starts when Jazay receives requirements from you.
Jazay works on your project following the steps below.
Revisions may occur after the delivery date.
Plan the architecture
We confirm the features and AI endpoints, and I plan the API structure, database, and how async LLM calls will be handled.
Build the core backend
I build the FastAPI services, database, and authentication with clean, documented endpoints your frontend can call.