AI Engineer

Frontend Research Developer / Great Place To Work!

This Jobot Job is hosted by: Alicia Blake
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $105,000 - $145,000 per year

A bit about us:

At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come.

Why join us?

• Competitive Base Salary!
• Excellent Benefits Package!
• Flexible Work Schedules!
• Accelerated Career Growth!

Job Details

Seeking a highly skilled AI Engineer to join our team and take ownership of building, maintaining, and scaling AI-driven systems. This role is critical for translating research innovations into production-ready pipelines and tools that support multiple programs, products, and services. The AI Engineer will work closely with research, IT, and product teams to operationalize AI solutions, ensuring they are reliable, secure, and optimized for performance.

What you will be doing:

Design, implement, and maintain production-grade AI and NLP pipelines, including model training, deployment, monitoring, and updates.
Collaborate with research teams on pre-production research and to operationalize prototypes, ensuring reproducibility, scalability, and robustness.
Build and maintain infrastructure for embeddings, large language models, and other AI assets.
Optimize AI systems for performance, reliability, and cost-efficiency.
Implement and maintain monitoring, logging, and alerting for AI systems in production.
Ensure compliance with data security, privacy, and organizational standards.
Support multiple product teams by providing AI engineering expertise, tools, and best practices.
Contribute to technical documentation, knowledge sharing, and internal training initiatives.

SKILLS:
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
A minimum of 3 years of experience in AI/ML engineering, including model deployment, MLOps, system monitoring, and production pipelines.
Proficiency with Python and AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
Experience with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes).
Familiarity with vector databases, embeddings, and large-scale NLP applications.
Experience in educational assessment or healthcare-related AI applications.
Experience with Agentic LLM architectures for complex task completion.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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