AI Developer - Junior

at  Jatom Systems IncCAN

REQUIRED QUALIFICATIONS

• Bachelor’s degree in computer science, Software Engineering, a related field, or equivalent job experience.
• Proficiency in Java, Python and C#. Familiarity with software development best practices
• Strong desire to learn machine learning concepts, frameworks, and libraries such as LLMs, RAG and embeddings
• Strong problem-solving skills and the ability to drive best in class solutions while maintaining simplicity
• Detail oriented.
• Team player – able to share, mentor and code review, with the ability to adapt to the latest development techniques.
• Eligible for up to a top-secret security clearance.

PREFERRED QUALIFICATIONS

• Agile development experience, including the use of automated unit and integration tests.
• Familiarity with Vector or Graph Databases
• Enterprise development experience (large databases, multi-tier applications).
• Linux experience.

• Design, Develop, and Test: Create robust, scalable, and efficient software solutions following industry best practices and meeting documented acceptance criteria.
• Write Clean Code: Craft well-documented and maintainable code, adhering to coding standards and guidelines.
• Code Reviews: Conduct thorough code reviews to ensure compliance with coding conventions and quality standards.
• Troubleshooting and Debugging: Identify root causes and implement effective solutions for issues that arise.
• Collaborate: Work closely with your team, including developers, testers, product owners, and managers.
• Continuous Improvement: Embrace a focus on continuous improvement and challenge the status quo.
• Agile Participation: Actively engage in Agile ceremonies, such as daily standups, grooming, sprint reviews, retrospectives, planning, and demos.
• Write, test, and maintain high-quality code in Java, Python, and C# to support AI/ML initiatives.
• Work closely with senior developers, data scientists, and other team members to understand requirements and deliver high quality innovative solutions.
• Assist in integrating AI/ML models and algorithms into existing systems and applications.
• Develop using test driven design (TDD) and CI/CD principles.
• Stay updated with the latest trends and advancements in AI/ML and related technologies.