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Senior Data Scientist focused on agentic AI development and large language model (LLM) engineering at Cast AI - ApplyBlast

Senior Data Scientist focused on agentic AI development and large language model (LLM) engineering

Cast AI

1 month ago

4.2 on Glassdoor

Columbus, Ohio, United States

Onsite

Full Time

Senior

0 applicants

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About this role

CAS is seeking a Senior Data Scientist to design, build, and productionize agentic AI systems and LLM-powered applications that power scientific information products. The role involves developing RAG pipelines, fine-tuning models, and establishing evaluation frameworks to ensure trustworthy, scientifically grounded AI capabilities. This position requires technical leadership, mentorship, and the ability to translate advanced AI engineering into tangible business value with minimal oversight.

Responsibilities

Design and productionize agentic AI systems and LLM-powered applications
Develop retrieval-augmented generation pipelines and fine-tune large language models
Set technical direction and mentor junior data scientists and engineers

Skills

Qualifications

Master's degree in Computer Science, Data Science, Chemistry, Materials Science, Chemical Engineering, or a related technical or scientific fieldBachelor's degree in Computer Science, Data Science, Chemistry, Materials Science, Chemical Engineering, or a related technical or scientific fieldPhD in Computer Science, Data Science, Chemistry, Materials Science, Chemical Engineering, or a related technical or scientific field

About Cast AI

cast.ai

Headquarters

Miami, Florida, United States

Company Size

51-200 employees

Founded

2019

View Profile

Cast AI is an intelligent Kubernetes automation platform that helps teams reduce cloud costs, secure Kubernetes applications, and accelerate DevOps across AWS, Azure, and GCP. The platform continuously optimizes clusters by automating node provisioning, rightsizing, workload placement, and other infrastructure tasks to lower spend while preserving performance and reliability. It also provides security and operational controls and integrates with existing CI/CD and cloud tooling to simplify day-to-day Kubernetes operations for engineering teams.