Python Full Stack Developer - Django/React.js

Python Full Stack Developer with AI

Job Summary :

We are looking for a highly skilled and motivated Full Stack Developer with strong expertise in Python, React.js, and SQL, to join our fast-paced development team. The ideal candidate will have experience building scalable web applications and a strong interest or background in AI/ML-driven applications. You will play a crucial role in delivering intelligent solutions for enterprise clients and top-tier consulting partners.

Required Skills & Experience :

- Strong Python development skills with experience in Django, Flask, or FastAPI.

- React.js, Redux, and front-end technologies (JavaScript, HTML5, CSS3).

- Solid SQL skills with databases like PostgreSQL, MySQL, or MS SQL Server.

- Experience working with RESTful APIs, JSON, and asynchronous programming.

- Understanding of version control systems (preferably Git).

- Experience in writing unit and integration tests.

- Familiarity with Agile development and DevOps culture.

- Strong problem-solving skills, ownership mindset, and collaborative attitude.

Preferred / Bonus Skills :

- Knowledge of data pipelines, model inference, and model deployment strategies.

- Hands-on with cloud platforms like AWS, Azure, or GCP.

- Familiarity with containerization (Docker) and orchestration (Kubernetes).

- Exposure to CI/CD pipelines and automated deployment tools.

- Prior experience in consulting environments or delivering solutions for enterprise clients.

Key Responsibilities :

- Design, develop, and maintain robust, scalable web applications using Python (Django/Flask/FastAPI).

- Build responsive and intuitive frontends using React.js and modern JavaScript frameworks.

- Collaborate with cross-functional teams including data scientists, designers, and consultants to integrate AI/ML models into applications.

- Optimize front-end and back-end components for performance, scalability, and maintainability.

- Build RESTful APIs and integrate with third-party APIs and data services.

- Contribute to architecture discussions, participate in code reviews, and maintain code quality.

- Support AI/ML model deployment workflows and data pipeline integration.

- Keep up with emerging technologies, especially in AI/ML, cloud computing, and web development.

- Experience of using AI Tools for efficiency gain in coding

Education :