Python Developer

What You’ll Do:
Develop and maintain scalable Python-based backend systems for SaaS applications.
Collaborate with data scientists and engineers to integrate AI and ML workflows into real-world products.
Build APIs (REST/GraphQL) to serve data to web and mobile front ends.
Optimize data ingestion, transformation, and processing pipelines to support AI features.
Design and implement robust architecture for multi-tenant SaaS platforms.
Ensure performance, security, observability, and fault tolerance of the back-end stack.
Participate in architecture planning, code reviews, sprint ceremonies, and deployments.
What You Bring:
3+ years of professional experience with Python development in SaaS environments.
Strong expertise in frameworks like Django , FastAPI , or Flask .
Experience in working with AI/ML workflows , such as integrating trained models into production systems or building ML-powered features.
Good understanding of data pipelines , preprocessing techniques, and model serving.
Experience designing and consuming APIs with REST or GraphQL .
Solid experience with PostgreSQL , MongoDB , or other data stores.
Familiarity with CI/CD , Git, containerized deployment (Docker), and cloud environments (AWS, GCP, or Azure).
Nice-to-Have / Bonus Skills:
Hands-on experience with data engineering tools and concepts (e.g., Airflow, Pandas, dbt, ETL/ELT).
Exposure to AI libraries like scikit-learn, TensorFlow, or Hugging Face.
Experience with vector databases , embeddings, or LLM pipelines.
Familiarity with Kafka , Redis , or streaming architecture.
Ability to work across the full stack (Node.js, React, etc.) is a plus but not required.
You’re a Great Fit If You:
Take extreme ownership of your code and responsibilities.
Have excellent communication skills , written and verbal.

English Required.
Collaborate well with cross-functional teams and help others grow .
Have a strong problem-solving mindset and enjoy breaking down complex challenges.
Stay curious, eager to learn, and always on the lookout for better ways to do things.
You're proficient in leveraging modern AI tools and copilots (like GitHub Copilot, ChatGPT, etc.) to accelerate development, improve code quality , and refine architectural decisions efficiently.