Junior AI Software Engineer

We are a distributed, technology-driven organization united by a shared passion for innovation. Our team is composed of builders, thinkers, and problem-solvers who believe in the transformative power of artificial intelligence. We foster a culture of mentorship, continuous learning, and intellectual honesty—a place where your ideas are valued and your growth is paramount. You won’t be a small cog in a giant machine; instead, you will have a visible impact on diverse projects spanning sectors like FinTech, automotive technology, e-commerce, and digital media. 

Your Mission and Impact

- Design and develop robust, scalable AI software components and applications using Python.

- Collaborate with senior engineers and data scientists to integrate, test, and validate complex machine learning and deep learning models.

- Engage in the full software development lifecycle (SDLC)—from ideation and requirements gathering to deployment and maintenance—all within an Agile environment.

- Write clean, well-documented, and high-performance code that becomes the backbone of our AI-powered products.

- Champion the creation and maintenance of comprehensive unit tests and integration tests to ensure system reliability and robustness.

- Proactively identify, debug, and resolve challenging technical issues across various systems, ensuring optimal performance and stability.

- Contribute to the continuous improvement of our development processes and CI/CD pipelines for streamlined, automated deployments.

- Document your code, algorithms, and system architecture with precision, facilitating knowledge sharing and future development.

- Optimize application performance by analyzing bottlenecks, refining algorithms, and implementing efficient data structures.

- Support and interact with a spectrum of internal teams, translating their needs into tangible technical features and solutions.

What You Will Bring

- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.

- Solid programming proficiency in Python and a strong grasp of software development fundamentals, including data structures, algorithms, and object-oriented design.

- Foundational experience with major machine learning frameworks such as TensorFlow, PyTorch, or Keras (demonstrated through academic projects, internships, or personal portfolios).

- A clear understanding of the machine learning project lifecycle, from data preprocessing to model evaluation.

- Familiarity with version control systems, particularly Git, and collaborative development workflows.

- Exceptional problem-solving abilities, with a knack for dissecting complex problems and devising effective, logical solutions.

- Strong communication and teamwork skills; you can articulate complex technical ideas clearly and work constructively with others.

- A high degree of adaptability and a proactive mindset—you thrive in a dynamic environment and are always looking for opportunities to improve.

Preferred Qualifications (Bonus Points)

- Internship experience in a software development or AI-focused role.

- Exposure to cloud platforms like AWS, Google Cloud Platform (GCP), or Azure.

- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.

- Experience building or consuming APIs (e.g., REST).

- Contributions to open-source projects or a personal portfolio (e.g., GitHub) showcasing your work.