Remote AI Engineer — LLMs, Gen AI & ML Solutions

Capital District Physicians Health Plan Inc; Town of De Witt (NY); Hybrid; USD 65,000 - 142,000; Full time

Job summary

Capital District Physicians Health Plan Inc is seeking an AI Engineer to join a collaborative team building ML/AI models, including LLMs and generative AI, to solve business challenges and improve member health outcomes. You will develop data pipelines, work with Databricks and cloud platforms, optimize models, and contribute to AI governance and deployment across enterprise systems.

You will collaborate with data engineers, participate in code reviews, and continuously learn new ML techniques

Qualifications

• Bachelor's degree required; six years of relevant experience in lieu of a degree.
• Experience developing AI/ML solutions in real-world applications.
• Basic understanding of ML concepts, algorithms, and statistics.
• Basic experience with databases, SQL, and data manipulation.
• Strong problem-solving skills and a willingness to learn.

Responsibilities

• Develops AI/ML solutions including LLMs, NLP, and generative AI.
• Builds data pipelines for feature engineering and model input.
• Collaborates with data engineering to prepare data for training.
• Supports model evaluation, testing, and monitoring in pre-production.
• Works with cloud-based ML platforms to develop and optimize models.
• Participates in CI/CD and ML Ops for deployment and monitoring.
• Mentors others and stays updated on AI trends.

Skills

Problem-solving

Willingness to learn

Communication to stakeholders

Leadership potential

Education

Bachelor's degree in CS or related field

Tools

Databricks

AWS SageMaker

Azure ML

Spark

CI/CD tools

Job description

Capital District Physicians Health Plan Inc is seeking an AI Engineer to join a collaborative team building ML/AI models, including LLMs and generative AI, to solve business challenges and improve member health outcomes. You will develop data pipelines, work with Databricks and cloud platforms, optimize models, and contribute to AI governance and deployment across enterprise systems.

You will collaborate with data engineers, participate in code reviews, and continuously learn new ML techniques