FastAPI Jobs

We are looking for an experienced Full-Stack Developer to build a lean MVP for a B2B SaaS product that combines AI with business data. The application will allow business users to ask questions about their sales data in natural language and receive answers, insights, tables, and simple charts. MVP Technology Stack - for the frontend - Python / FastAPI for the backend - PostgreSQL for SaaS configuration and metadata - Microsoft SQL Server as the initial customer data source - LLM/API integration for natural-language-to-SQL generation and data interpretation MVP Scope The initial product should include: - User authentication - Simple conversational chat interface - Secure, read-only SQL Server connectivity - Semantic mapping of sales and business fields - AI-generated SQL with strong saf...

Timetable Generator — Automated College Scheduling SaaS A multi-tenant web application that automatically generates conflict-free timetables for colleges and universities using constraint programming. The Problem Creating timetables manually for colleges is a time-consuming, error-prone process. Scheduling conflicts — a teacher in two places at once, a room double-booked, a class group with overlapping lectures — are common and hard to catch manually. The Solution Timetable Generator automates this entire process. College admins simply enter their teachers, courses, rooms, time slots, and class groups — and the system generates a complete, conflict-free timetable in seconds. Tech Stack Backend: Python, FastAPI, SQLAlchemy, Alembic, PostgreSQL Frontend: React, T...

I am looking for an experienced full-stack developer to build a lean MVP of a B2B SaaS product using AI and business data. The application will allow business users to ask questions about their sales data in natural language and receive answers, insights, tables and simple charts. Initial MVP stack: frontend Python / FastAPI backend PostgreSQL for SaaS configuration and metadata Microsoft SQL Server as the first customer data source LLM/API integration for natural-language-to-SQL and data interpretation The MVP should include authentication, a simple chat interface, secure read-only SQL Server connectivity, semantic mapping of sales fields, AI-generated SQL with safety validation, query execution, results interpretation, simple charts, and basic query history. This is an early-stage boots...

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I need a complete mechanic / two-wheeler workshop management app for a real bike/scooter shop in India (local PC install preferred). What the software must do Customers & vehicles — name, phone, WhatsApp, number plate, make/model Appointments — daily shop capacity (green/yellow/red), book slots Job cards — vehicle entry, status flow (received → work → ready → completed), bay/mechanic Manual labour & parts — enter service name + ₹ per job (no fixed price catalogue required) Extra repairs — draft WhatsApp for customer approval, then add to estimate/bill Estimates & invoices — GST (e.g. 18%), discount, advance payment, balance due Owner bill approval — owner must approve bill before final invoice WhatsApp messages — c...

Sensei AI — Institutional-Grade Stock Analysis Platform I built Sensei AI, a real-time trading intelligence platform covering all 50 Nifty stocks, designed to bring institutional-level AI analysis to retail investors. The system unifies five distinct AI model families into a single scored decision engine (−5.0 to +5.0): - Classical ML — Random Forest with SHAP-based feature attribution for explainable UP/DOWN probability - Deep Learning — Custom LSTM and causal Temporal CNN (PyTorch) for 5-day return forecasting - Reinforcement Learning — PPO agent (Stable-Baselines3) trained via a custom Gymnasium trading environment for BUY/SELL/HOLD actions - Regime Detection — Gaussian Hidden Markov Model to classify BULL/BEAR market states - Financia...

I already have a working chatbot and chat system written in Python; now I want to transform it into a full-fledged customer-service agent. Its core jobs are clear: answer FAQs, process orders, and handle complaints or return requests. All of this must work seamlessly inside both my website and our upcoming mobile app. What I need from you • Review and refactor the existing Python codebase so it is clean, modular, and ready for production. • Strengthen the NLP logic so common customer questions are recognised reliably and routed to the right action. • Integrate order-processing and ticketing endpoints (they are REST/JSON) so the bot can create, update, and close orders or complaint cases. • Package the finished bot as an easily embeddable web widget plus a light...

I already have a working chatbot and chat system written in Python; now I want to transform it into a full-fledged customer-service agent. Its core jobs are clear: answer FAQs, process orders, and handle complaints or return requests. All of this must work seamlessly inside both my website and our upcoming mobile app. What I need from you • Review and refactor the existing Python codebase so it is clean, modular, and ready for production. • Strengthen the NLP logic so common customer questions are recognised reliably and routed to the right action. • Integrate order-processing and ticketing endpoints (they are REST/JSON) so the bot can create, update, and close orders or complaint cases. • Package the finished bot as an easily embeddable web widget plus a light...

I’m building a web-based platform aimed squarely at portfolio management. The core of the product is a clean, dashboard-style interface that lets users see how their positions are performing and understand the risk they’re carrying at a glance. Here’s the experience I’m after: • A single-page front end that loads fast, adapts to desktop and mobile, and presents performance tracking widgets (P&L, time-weighted returns, benchmark comparisons) alongside concise risk assessment panels (volatility, beta, VaR). • A secure back end that ingests market prices from an external data API, stores both historical and intraday snapshots, and calculates the metrics that feed the dashboard. • User accounts with authentication, encrypted storage for portf...

I already have a working chatbot and chat system written in Python; now I want to transform it into a full-fledged customer-service agent. Its core jobs are clear: answer FAQs, process orders, and handle complaints or return requests. All of this must work seamlessly inside both my website and our upcoming mobile app. What I need from you • Review and refactor the existing Python codebase so it is clean, modular, and ready for production. • Strengthen the NLP logic so common customer questions are recognised reliably and routed to the right action. • Integrate order-processing and ticketing endpoints (they are REST/JSON) so the bot can create, update, and close orders or complaint cases. • Package the finished bot as an easily embeddable web widget plus a light...

I have an existing front-end ready to go and now need a solid Python backend built and put online. Please architect and code the server side in Python—feel free to choose the framework you are most comfortable with (Django, Flask or FastAPI all work for me) as long as it is scalable and well-structured. Core expectations • Develop clean, well-documented code that exposes all required endpoints so the front-end can log users in, store and retrieve data, and talk to third-party services. • Set up a production-ready database and handle migrations. • Configure, secure and deploy the application on a reliable cloud host. I did not lock us into AWS, GCP or Azure, so recommend the platform that best fits the stack you build. • Hand over deployment scripts (Docke...

Python AI CRM Automation MVP — API Integration & AI Workflow I am building an AI-powered CRM automation system for a business and are looking for a strong Python developer to help develop the initial technical MVP. The system will connect a CRM/API with a Python backend and an AI layer to automate selected customer and lead-management workflows. This is intended to become a longer-term project, but we want to begin with a focused technical milestone before expanding the scope. The proper developer will help with: * Python backend development * CRM API integration * REST API development * Database design and queries * CRM data retrieval and updating * AI/LLM API integration * Structured data processing * Automation workflow implementation * Error handling and logging * Basic a...

Hi, I can build this as a compact, reliable web application focused specifically on the business workflow you want to automate, rather than overengineering it into a large platform. My preferred stack would be Python with FastAPI/Django, PostgreSQL where needed, and a lightweight browser-based frontend, with Git-based source delivery and clear deployment documentation. I have built and deployed multiple backend/API projects involving automation, background processing, databases, authentication, testing, and deployment. In particular, my AI Agent API handles automated workflows using Python, APIs, PostgreSQL, Redis, and Celery, while my SaaS and marketplace APIs demonstrate experience building maintainable web systems. I can provide: - Complete source code in Git - Working web applicati...

Senior AI/ML + Distributed Systems Engineer Required (Enterprise Build – $45,000 Fixed Price) Project: AI Financial Intelligence & Risk Monitoring Platform We are hiring a highly experienced engineer or engineering team to architect, build, deploy, and operationalize a production-grade AI Financial Intelligence & Risk Monitoring Platform. This is not a prototype. This is not a simulation. This must be a fully scalable, real-time, enterprise-grade system capable of operating under production conditions. ⸻ Project Overview The platform must: * Process high-volume financial data streams in real time * Detect anomalies using AI-driven models (not rule-based systems) * Generate actionable risk intelligence * Operate under strict performance, latency, and scalability benchm...

I have an internal dashboard that uses AI to generate automatic email replies. It works, but it’s starting to fall behind our needs. The main goal is to boost the accuracy of each suggested response while making the interface feel smoother for everyday users. Accuracy updates • Refine keyword-matching so the system chooses the right intent even in edge-case phrasing. • Incorporate stronger natural-language-processing techniques to handle varied sentence structures and tone. • Refresh or retrain the underlying data models; I’ll provide sample email logs for you to fine-tune on. Interface refinement Right now the layout is functional but clunky. I want the overall user experience to feel intuitive—fewer clicks from draft to send, clearer confidenc...

Senior Android VPN Developer Needed - Production VPN Experience Required We are looking for an experienced individual developer to build and launch a consumer Android VPN app. A reference UI image will be provided. The UI is relatively simple. VPN speed, reliability, network handling, and infrastructure are the main priorities. Requirements: - Native Android development with Kotlin - Android VpnService experience - WireGuard, OpenVPN, IKEv2, or similar VPN protocol experience - One-tap connect and disconnect - Automatic and manual VPN server selection - Fast and stable VPN connections - Automatic reconnect and server failover - Wi-Fi and mobile network switching support - DNS and IPv6 leak prevention - VPN server and backend integration - Server health and load monitoring - AdMob inte...

I need a solid backend written in Python that powers one-on-one messaging for an existing mobile chat application. The core tasks are to expose clean REST and WebSocket endpoints, handle real-time delivery, persist messages reliably in PostgreSQL, and keep latency low under moderate load. Authentication is already in place; your job starts at the moment the client is authorised. From there the service must: • accept text, emoji, and small attachment payloads • write each message atomically to Postgres, marking it delivered and later read • push live updates back to the correct recipient through WebSockets • expose a simple status route for health checks and basic metrics Unit tests that cover the message flow, delivery confirmations, and failure scenarios ...

# Open-Source LMS Expert Required — Production-Ready Multi-Tenant LMS ## Project Overview We are building a white-label LMS platform for multiple trading academies. The platform will allow different academy businesses to operate their own branded learning environments from a common technology platform. We are looking for a senior LMS engineer / architect who has already built and successfully launched an LMS in production using an open-source LMS codebase. This is NOT a project for someone who has only created courses in Moodle or performed basic LMS configuration. ## Mandatory Experience You must have personally worked on at least one real LMS project that was successfully launched end-to-end in production, preferably using an open-source platform such as: * Moodle * Open edX...

I want to replace the patchwork of manual steps that move a prospect from our forms and inboxes into the CRM with a single, reliable AI-driven workflow. The goal is pure process optimization: an autonomous agent (or small group of agents) that can read incoming lead data, enrich it, score it, trigger personalised replies, assign tasks, and keep every CRM field perfectly up to date—no human copy-pasting, no delays. Scope of work • Map the current lead-to-CRM flow, highlight bottlenecks, and propose an automation architecture. • Build the agent(s) in a clean, documented codebase—Python, FastAPI, LangChain, or comparable tools are fine as long as they’re well-supported and easy to maintain. • Integrate with our existing CRM (HubSpot/Salesforce or simila...

I want to bring an AI-driven auto-responder into my email workflow so incoming messages receive clear, factual answers without my manual input. The scope is focused on one channel—Email—yet the architecture should be clean enough that I can extend it later to SMS or Social Media if the business grows. The responder must: • Read and understand new emails in real time (IMAP/SMTP, Google Workspace). • Generate concise, fully automated informational replies in English only, drawing on a small knowledge base or set of answer templates I will supply. • Fall back to a default template or flag messages whenever the model’s confidence dips below an agreed threshold. • Log every interaction for easy review and fine-tuning. Tech I’m already comfortable wi...

Senior Full-Stack Python Developer / Team — Multi-Tenant Data Scraping & Lead Generation Web Application Project Overview We are seeking an experienced Senior Full-Stack Python Developer (or small specialized agency) to build a scalable, multi-tenant web application for automated web scraping, contact discovery, and lead management. The application will host two independent scraping engines under a unified user and admin dashboard, featuring background task queues, anti-bot mechanisms, automated data enrichment, and direct Google Sheets API integration. Key Technical Architecture & Modules 1. Module 1: Job Site Scraping Engine Automated data extraction from dynamic and static job portals. Support for site-specific selectors, pagination rules, rate limiting, and category/su...

We are building a fuel tanker trailer monitoring system (pilot project) for petrol-PMS/diesel (AGO) distribution clients in our region. We have a detailed technical blueprint and now need: 1. Organizations/suppliers who can provide industry‑rated, ATEX‑compliant hardware (fuel level probes, smart GPS locks, telematics gateways, etc.) at prototype‑friendly pricing, ideally with OEM/white‑label options. 2. Embedded/firmware engineers and backend/API developers to integrate this hardware with our web/mobile platform via Modbus RS485, MQTT, and REST APIs. Note: This is a pilot project phase with ability to scale the concept to a wider client base after the tests. What We Already Have Complete system architecture and hardware list but need to know if we can get manufacturers with industry rat...

## Job Description## Overview We are seeking an experienced, high-velocity Full-Stack Developer to build and launch an AI-driven credit intelligence and automated dispute generation platform. The architecture, database schemas, API data contracts, and deployment workflows are already fully designed and documented. We need a sharp developer who can take our structured technical blueprints and build a stable, production-ready MVP within a 30-to-45-day window. This is a clean-slate project with zero technical debt. You will be working with a lean, modern async Python stack on the backend and your choice of a clean SPA framework on the frontend. ------------------------------ ## The Technical Stack * Backend Framework: FastAPI (Python 3.11+, fully async, Pydantic v2) * Database &a...

Budget $50-$350 Delivery window within max of 120 days (Takes 3 days of work or 20 senior hours) The client is the founder and sole developer of an in-progress software platform. They are looking for an experienced developer to help complete the final stage of the build. Platform completion We need an experienced developer to complete an A-to-Z platform that is approximately 85–95% developed. The remaining work is fewer than 10 tasks and is expected to take a senior developer less than 20 working hours; detailed tasks and acceptance criteria will be shared after an NDA and confidentiality agreement are in place. Engagement Note: This engagement is for an experienced developer to complete the remaining work on an existing platform. The remaining scope is fewer than 10 tasks and is...

Project Description: Developed an end-to-end AI-powered medical intelligence platform for analyzing chest X-ray images and assisting with disease prediction. The system uses Deep Learning with DenseNet121 to classify X-ray images into five categories: Normal, Pneumonia, Atelectasis, Cardiomegaly, and Effusion. Integrated Grad-CAM Explainable AI (XAI) to generate visual heatmaps highlighting regions of the X-ray that contributed to the model's prediction. Built REST APIs using FastAPI for image upload, prediction, model information, and health monitoring. The platform also supports prediction history and is designed for integration with AI-assisted medical report generation using LLMs. Key Features 1. Medical Image Analysis – Processes chest X-ray images using deep learning. 2. ...