Principal AI Platform Engineer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

About the role

As a Principal AI Platform Engineer, you will be responsible for designing, developing, and maintaining scalable AI platforms that power our company's decision-making processes. You will collaborate with cross-functional teams to define requirements, architect solutions, and ensure high-quality, secure, and efficient AI systems.

Responsibilities

• Design and implement scalable AI platforms using state-of-the-art technologies and frameworks.
• Collaborate with product managers, data scientists, and other engineers to understand business needs and translate them into technical solutions.
• Develop and maintain robust, secure, and scalable AI models and infrastructure.
• Ensure compliance with relevant regulations and standards, including GDPR, HIPAA, and others as applicable.
• Contribute to the continuous improvement of AI platform architecture and practices through research and innovation.
• Provide technical leadership and mentorship to junior engineers and participate in code reviews.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• At least 7 years of experience in software engineering and AI development.
• Proven experience in designing and implementing large-scale AI systems.
• Strong understanding of machine learning algorithms, deep learning, and neural networks.
• Experience with cloud-based platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and ability to work independently and in a team environment.
• Experience with DevOps practices and CI/CD pipelines.
• Knowledge of security best practices and experience with security protocols.

Qualifications

• Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Experience with distributed systems and microservices architecture.
• Experience with natural language processing (NLP) and computer vision.
• Experience with database design and optimization.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

Skills

• Proficiency in Python, Java, or C++.
• Experience with TensorFlow, PyTorch, or other deep learning frameworks.
• Experience with SQL and NoSQL databases.
• Experience with version control systems (Git).
• Experience with cloud-native tools and services.

Benefits

• Competitive salary commensurate with experience.
• Flexible remote work options.
• Health insurance coverage.
• Retirement savings plan.
• Professional development opportunities.
• Regular team-building activities.

Pay

Salary range: $150,000 - $200,000 annually.

Schedule

Full-time position with flexible working hours.