AI Developer – Investigative Assistant and Pattern Analytics - Intermediate

at  Jatom Systems IncCAN

REQUIRED QUALIFICATIONS

• Bachelor’s degree in computer science, Software Engineering, a related field, or equivalent job experience
• 3-5 years of experience developing high quality enterprise software
• Proficiency in Python and C#. Familiarity with software development best practices
• Basic understanding of machine learning concepts, frameworks, and libraries (e.g., TensorFlow, PyTorch, scikit-learn, LLMs, RAG, Prompt Engineering).
• Strong problem-solving skills and the ability to drive best in class solutions while maintaining simplicity
• Proven history of getting things done (e.g., not just a thinker, but someone capable of delivering high quality code and finishing the job)
• 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 AI/ML frameworks and tools including those disciplines focusing on LLMs, RAG, Vision and Language Analytics
• Enterprise development experience (large databases, multi-tier applications).
• Linux experience.

• Troubleshoot and resolve high-priority software issues impacting customers, utilizing diagnostic and debugging tools.
• Collaborate with development teams to create and deploy fixes, ensuring rapid resolution of production issues.
• Develop minor feature enhancements to improve product quality and supportability based on customer feedback.
• Document root cause analyses and develop processes for proactive problem prevention.
• Serve as the primary point of escalation for complex technical issues, providing technical expertise and guidance to customer support teams.
• Maintain strong communication with stakeholders, including customers, to keep them informed of progress on critical issues.
• 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.
• 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.