Remote AI Engineer – LLM & Generative AI Innovator

Univera HealthСare; City of Rochester (NY); Hybrid; USD 65,000 - 142,000; Full time

Job summary

Univera Healthcare is seeking an AI Engineer to develop and deploy advanced ML/AI solutions, focusing on large language models and generative AI. The role involves building data pipelines, collaborating with data engineering, and optimizing AI models on cloud platforms.

The candidate will participate in model deployment, monitoring, and governance, while adhering to privacy and corporate standards. The position offers opportunities to advance AI capabilities across the enterprise, with potential

Qualifications

• Bachelor's degree required; 6 years of relevant experience in lieu of a degree.
• Experience developing AI/ML solutions.
• Strong understanding of ML concepts, algorithms, and statistics.
• Experience with databases, SQL, and data manipulation.

Responsibilities

• Develop AI/ML solutions to solve business problems and improve outcomes.
• Builds and refines data pipelines for feature engineering.
• Collaborates with data engineering teams to prepare data for model training.
• Supports model evaluation, testing, and monitoring in pre-production.
• Works with cloud ML platforms to develop and optimize AI models.
• Contributes to AI/ML lifecycle with stakeholders and deployment teams.
• Mentors team members and promotes best practices in AI engineering.

Skills

AI/ML concepts

NLP

Data pipelines

Model evaluation

Cloud ML platforms

CI/CD

LLMs

Generative AI

Python

SQL

Education

Bachelor's degree

Tools

Databricks

AWS SageMaker

Azure ML

Spark

Job description

Univera Healthcare is seeking an AI Engineer to develop and deploy advanced ML/AI solutions, focusing on large language models and generative AI. The role involves building data pipelines, collaborating with data engineering, and optimizing AI models on cloud platforms.

The candidate will participate in model deployment, monitoring, and governance, while adhering to privacy and corporate standards. The position offers opportunities to advance AI capabilities across the enterprise, with potential