Straive - Python Developer - Django/Flask (3-8 yrs)

Role & Responsibilities :

As a Python Developer with expertise in AI-powered chatbots, you will be responsible for building, deploying, and maintaining intelligent chatbot applications.

These applications will provide exceptional user experiences across various channels, such as websites, mobile applications, and messaging platforms.

Key Responsibilities :

- Design, build, and implement AI-powered chatbots from scratch using Python and relevant AI libraries.

- Leverage platforms such as Google Dialogflow, Microsoft Bot Framework, or Amazon Lex to create chatbots that understand user intent and provide accurate responses.

- Work with REST APIs to integrate chatbot solutions with external systems, data sources, and services.

- Ensure seamless communication between the bot and third-party services.

-Utilize Dialogflow, Amazon Lex, Microsoft Bot Framework, or other popular chatbot development platforms to create conversational agents.

- The ability to integrate chatbots with existing platforms (e., websites, mobile apps, social media) is essential.

- Develop server-side logic to handle chatbot queries and responses using Python and frameworks like Flask or Django.

- Ensure optimal performance and scalability of the backend infrastructure supporting chatbot applications.

- Implement multilingual support for chatbots, enabling them to serve users in multiple languages and handle regional variations in conversation flow.

- Work with HTML, CSS, and JavaScript to integrate chatbots into web and mobile applications.

- Design intuitive interfaces that provide a seamless user experience.

- Utilize NLP techniques and libraries (such as spaCy, NLTK, or Transformers) to enhance the chatbot's ability to understand user intent and context.

- Continuously improve chatbot capabilities by analyzing user feedback, monitoring interactions, and adjusting the bot's training to improve accuracy and performance.

- Work closely with front-end developers, UX/UI designers, and product managers to ensure the chatbot integrates well with the overall product.

- Collaborate to identify new features and enhance the chatbot's effectiveness.

- Conduct thorough testing of the chatbot system, troubleshoot issues, and ensure smooth deployment.

- Use unit tests and integration tests to verify the functionality and reliability of the chatbot.

- Maintain clear and comprehensive documentation for the chatbot's architecture, development process, and any third-party integrations.

Required Qualifications & Skills :

- Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.

- 3+ years of professional experience working with Python for backend development, particularly with frameworks like Flask or Django.

- 2+ years of hands-on experience developing AI-powered chatbots from scratch.

- Experience with platforms like Google Dialogflow, Microsoft Bot Framework, or Amazon Lex to build and deploy chatbots.

- Familiarity with Natural Language Processing (NLP) techniques and tools such as spaCy, NLTK, or Transformers.

- Ability to train and improve NLP models for chatbot applications.

- Basic working knowledge of HTML, CSS, JavaScript, and JSON to integrate chatbots into web and mobile environments.

- Understanding of how to use frontend technologies to create intuitive and responsive user interfaces.

- Experience working with REST APIs for integrating chatbots with backend services and third-party systems.

- Familiarity with deploying AI chatbots on cloud platforms such as AWS, Google Cloud, or Azure.

- Experience building multilingual chatbots, with an understanding of language processing, localization, and translation for chatbots.

- Proficient in using Git for version control.

- Strong problem-solving skills with the ability to troubleshoot, debug, and optimize chatbot systems.

- Experience with additional chatbot platforms or frameworks (e., Rasa, Botpress, Wit.ai).

- Knowledge of advanced machine learning and deep learning models for improving chatbot intelligence.

- Familiarity with containerization tools like Docker for deployment and scalability.

Core Values & Attributes :

- Passionate about exploring and working with AI and chatbot technologies to create intelligent and human-like interactions.

- Able to work closely with cross-functional teams, including product managers, frontend developers, and UX/UI designers, to deliver the best chatbot experience.

- Ensuring the chatbot performs accurately, smoothly, and securely while delivering a seamless user experience.

- Ability to take initiative, work independently, and drive projects from concept to deployment.

- Strong written and verbal communication skills, with the ability to articulate complex ideas clearly