Python Full Stack Developer

• Design, develop, test, and maintain scalable applications using Python.
• Build high-performance backend services and REST APIs using FastAPI.
• Integrate LLMs and pre-trained AI models into enterprise applications through APIs.
• Develop AI-powered features including chatbots, intelligent search, document processing, and automation workflows.
• Work with OpenAI, Azure OpenAI, AWS Bedrock, Google Gemini, or similar AI platforms.
• Develop data processing and preprocessing pipelines using Pandas and NumPy.
• Apply machine learning techniques for supervised and unsupervised learning use cases.
• Work with scikit-learn, TensorFlow, PyTorch, and/or Keras.
• Fine-tune and customize AI/ML models based on business requirements.
• Implement Prompt Engineering, embeddings, vector search, and RAG solutions.
• Integrate AI capabilities into web applications, APIs, and enterprise platforms.
• Optimize AI/ML models and applications for performance, scalability, and low latency.
• Develop reusable Python modules, libraries, and application components.
• Implement error handling, logging, monitoring, and production support processes.
• Collaborate with frontend developers to integrate backend APIs with modern UI applications.
• Use Git for source control and follow Agile/Scrum development practices.
• Participate in code reviews, testing, debugging, and deployment activities.

We are seeking an experienced Senior Python Full Stack Developer with strong expertise in Python, FastAPI, AI/ML, LLM integration, and modern application development. The ideal candidate should have hands-on experience building scalable backend services, integrating AI/LLM capabilities, working with data, and developing production-ready applications., * 7+ years of professional software development experience.

• Strong hands-on expertise in Python programming.
• Strong experience with FastAPI / REST API development.
• Good understanding of object-oriented programming, data structures, algorithms, and design patterns.
• Experience integrating AI/ML models and cloud-based AI services.
• Hands-on experience with:
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch / Keras
• Understanding of machine learning concepts including:
• Supervised Learning
• Unsupervised Learning
• Model Training
• Fine-Tuning
• Overfitting
• Regularization
• Experience handling, cleaning, transforming, and preprocessing datasets.
• Strong understanding of API integration and authentication.
• Experience with Git/GitHub/GitLab.
• Strong debugging and problem-solving skills.