Artificial Intelligence Engineer

The AI Engineer is an ML engineer who is responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how we search and analyze complex medical and insurance data. This role requires a deep understanding of machine learning, LLM technologies, data science, and software engineering. This is an ML-engineering role and not a data science role, which means you should be comfortable building production-ready systems. This is not a research role.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

• Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
• Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
• Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs.
• Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics.
• Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data.
• Build and optimize production-ready systems that are scalable and can handle large amounts of data.
• Build and optimize agentic systems that can reason and make decisions.
• Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality.
• Stay on top of AI and ML security and governance requirements.

REQUIRED QUALIFICATIONS

• BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies.
• Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow.
• Experience with CI/CD pipelines and automated testing.
• High level of proficiency with Python and several ML frameworks.

PREFERRED QUALIFICATIONS

• Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage.
• Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.

This job description is not intended to be all-inclusive. The supervisor or other management may assign other reasonably related business duties. Management reserves the right to change job responsibilities, duties, and hours as needs prevail. This job description is not intended to imply a written or implied contract of employment.

The work environment characteristics below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals to perform the essential functions. Reach out to Human Resources to discuss any reasonable accommodation requests that are made.

Sitting/Standing/Walking Requirement

Standing and walking requirements are minimal. The sitting requirement may be for a duration of 8 hrs or longer in order to perform work on a computer.

Visual Acuity Requirement

Continuously required for duration of 8 hrs or longer to read and see small detail on computer screen.

Verbal Communication Requirement

Continuously required to communicate by means of spoken work; participates in activities where spoken instructions must be conveyed to others accurately or quickly in person.

Repetitive Motion Requirement

Constantly required for duration of 8 hrs or longer to make repetitive movements of the wrists, hands, and /or fingers through use of computer.