Ishan Technologies - Python Developer - Django/Flask

About the job :

About Company :

At Ishan Technologies, we are on a transformative journey to create future-ready, AI-first solutions that shape industries and empower enterprises.

Our AI & Innovation Lab is the hub of our technology strategy, driving advanced R&D, cutting-edge AI/ML development, and high-impact product innovation.

We are looking for passionate developers who thrive in building scalable systems and want to be part of an innovation-driven environment.

Role Overview :

We are seeking a Python Developer with 4+ years of experience to join our AI & Innovation Research Lab.

You will contribute to designing and implementing Python-based solutions that power AI and Intelligent Automation products.

This role is ideal for someone who enjoys hands-on coding, solving complex problems, and working closely with AI/ML experts to bring research into scalable enterprise applications.

Key Responsibilities :

- Develop and optimize backend systems and APIs in Python for AI-driven products and platforms.

- Collaborate with AI/ML engineers, data scientists, and product teams to build efficient data processing workflows.

- Build modular, reusable Python components to support microservices and distributed architectures.

- Work with relational and non-relational databases (PostgreSQL, SQL, Firestore, NoSQL).

- Implement integrations with messaging systems (Kafka, RabbitMQ, Pub/Sub).

- Contribute to the design and development of RESTful APIs and asynchronous systems (FastAPI, Uvicorn).

- Write clean, testable, and maintainable code aligned with best practices (CI/CD, Docker, Git, unit testing).

- Participate in code reviews and actively contribute to improving code quality.

Desired Skills & Experience :

- 4+ years of professional Python development experience.

- Strong experience with backend frameworks (Django / FastAPI / Flask).

- Solid understanding of OOP, design patterns, and microservices architecture.

- Experience working with databases (SQL & NoSQL) and API integrations.

- Familiarity with cloud platforms (GCP/AWS/Azure) and containerization (Docker/Kubernetes) is a plus.

- Exposure to AI/ML workflows or data-intensive applications is an advantage.

- Strong problem-solving, debugging, and collaboration skills