Python Developer Needed for AI Chatbot Backend Development
Budget: ₹100 – ₹400 INR
Job Description:
I’m building an AI-powered chatbot backend to handle customer interactions on messaging platforms (e.g., WhatsApp). The chatbot will process messages, identify intents/entities, generate AI-based responses, and support live agent handovers.
I’m looking for experienced Python developers to help design and implement a scalable backend for this project.
Key Responsibilities:
1. Asynchronous Message Handling: Build an efficient API to process incoming customer messages in real time.
2. Session Management: Design a system to track and manage multiple simultaneous user sessions.
3. Queue Management: Integrate messaging queues (e.g., RabbitMQ, Kafka, or AWS SQS) for message processing.
4. Database Integration: Use Redis or DynamoDB to store session and conversation data.
5. Cloud Deployment: Set up the backend on AWS (e.g., EC2, Lambda, or Elastic Beanstalk) for scalability.
Preferred Skills:
• Strong experience in Python (Flask or FastAPI).
• Familiarity with APIs (e.g., WhatsApp API, OpenAI/ChatGPT).
• Knowledge of cloud services (AWS preferred).
• Experience with messaging systems and scalable backend design.
• Bonus: Background in AI/ML or chatbot development.
Project Scope:
• Initial phase: Handle ~5 businesses with ~200 customers each.
• Long-term potential for continued collaboration on scaling and maintenance.
Budget:
$[Specify Your Budget Range Here] – Open to discussion based on experience and scope.
Deliverables:
1. Fully functional backend with asynchronous processing.
2. API integration for message handling and response generation.
3. Deployed backend on a cloud platform.
4. Documentation for the backend setup and API endpoints.
How to Apply:
Please include:
• Your experience with Python backend development.
• Projects you’ve worked on related to chatbots, AI, or messaging systems.
• Links to your portfolio or GitHub profile (if available).
• A brief proposal on how you’d approach this project.
Looking forward to collaborating with talented developers to bring this project to life!
I’m building an AI-powered chatbot backend to handle customer interactions on messaging platforms (e.g., WhatsApp). The chatbot will process messages, identify intents/entities, generate AI-based responses, and support live agent handovers.
I’m looking for experienced Python developers to help design and implement a scalable backend for this project.
Key Responsibilities:
1. Asynchronous Message Handling: Build an efficient API to process incoming customer messages in real time.
2. Session Management: Design a system to track and manage multiple simultaneous user sessions.
3. Queue Management: Integrate messaging queues (e.g., RabbitMQ, Kafka, or AWS SQS) for message processing.
4. Database Integration: Use Redis or DynamoDB to store session and conversation data.
5. Cloud Deployment: Set up the backend on AWS (e.g., EC2, Lambda, or Elastic Beanstalk) for scalability.
Preferred Skills:
• Strong experience in Python (Flask or FastAPI).
• Familiarity with APIs (e.g., WhatsApp API, OpenAI/ChatGPT).
• Knowledge of cloud services (AWS preferred).
• Experience with messaging systems and scalable backend design.
• Bonus: Background in AI/ML or chatbot development.
Project Scope:
• Initial phase: Handle ~5 businesses with ~200 customers each.
• Long-term potential for continued collaboration on scaling and maintenance.
Budget:
$[Specify Your Budget Range Here] – Open to discussion based on experience and scope.
Deliverables:
1. Fully functional backend with asynchronous processing.
2. API integration for message handling and response generation.
3. Deployed backend on a cloud platform.
4. Documentation for the backend setup and API endpoints.
How to Apply:
Please include:
• Your experience with Python backend development.
• Projects you’ve worked on related to chatbots, AI, or messaging systems.
• Links to your portfolio or GitHub profile (if available).
• A brief proposal on how you’d approach this project.
Looking forward to collaborating with talented developers to bring this project to life!