Python Developer

What You'll Be Doing

• Develop dynamic, secure, and scalable web applications using Python.
• Design, develop, document, and maintain REST APIs.
• Build backend applications using Django, Django REST Framework (DRF), Flask, or FastAPI.
• Integrate AI models, LLMs, and machine learning services into web applications.
• Work with APIs and services from OpenAI, Azure OpenAI, Google Gemini, AWS Bedrock, and other AI platforms.
• Develop AI-powered chatbots, knowledge-base applications, document-processing systems, recommendation systems, and automation tools.
• Build and integrate Retrieval-Augmented Generation (RAG) workflows.
• Implement authentication, authorization, data validation, logging, exception handling, and application security.
• Work with frontend developers to integrate Python APIs with React.js and Next.js applications.
• Design and manage databases, data models, and application workflows.
• Write clean, reusable, secure, testable, and well-documented code.
• Use AI-assisted coding tools to improve development speed, debugging, testing, and code quality.
• Deploy and maintain Python applications on cloud platforms.
• Troubleshoot production issues and optimize application performance.

Required Technical Skills

• Strong knowledge of Python and object-oriented programming.
• Hands-on experience with Django, Django REST Framework (DRF), Flask, or FastAPI.
• Good understanding of REST API development and third-party API integration.
• Experience working with databases such as PostgreSQL, MySQL, MongoDB, or SQL Server.
• Understanding of database design, queries, indexing, and ORM concepts.
• Knowledge of HTML, CSS, JavaScript, and modern web application architecture.
• Familiarity with Git, GitHub/GitLab, Postman, Docker, and CI/CD.
• Understanding of authentication and authorization methods such as JWT and OAuth.
• Basic knowledge of AWS, Azure, or other cloud platforms.
• Ability to write unit tests, debug applications, and troubleshoot complex technical issues.

Python Libraries AI/ML Technologies

• Web Development: Django, Django REST Framework, Flask, FastAPI, Pydantic
• Data Processing: Pandas, NumPy, OpenPyXL
• AI Machine Learning: Scikit-learn, TensorFlow, PyTorch
• Generative AI: OpenAI SDK, LangChain, LlamaIndex, Hugging Face Transformers
• Vector Databases: Qdrant, Pinecone, Chroma, FAISS
• Document Processing: PyPDF2, pdfplumber, BeautifulSoup, OCR tools
• Database ORM: SQLAlchemy, Django ORM
• Testing: Pytest, Unittest
• Automation: Selenium, Playwright, Requests
• Background Processing: Celery, Redis
• Deployment: Docker, Nginx, Gunicorn, Uvicorn

AI/ML Experience

• Integrate Large Language Models (LLMs) through APIs.
• Develop Retrieval-Augmented Generation (RAG) applications.
• Generate, manage, and store embeddings using vector databases.
• Work with prompt engineering and structured AI outputs.
• Build AI chatbots, copilots, and knowledge-base applications.
• Process and extract information from PDFs, documents, and websites.
• Develop basic machine learning models and data-processing workflows.
• Integrate AI functionality into existing web applications and APIs.
• Manage AI API costs, response times, data privacy, security, and error handling.

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.