Artificial Intelligence Engineer (Remote)

Job Description

REMOTE, United States

JOB DESCRIPTION

Insight Global is seeking a team of experienced, driven Artificial Intelligence Engineers and Data Scientists to join an established health technology company sitting remotely in the EST or CST timezone. This is a full-time, permanent role with competitive salary, bonus, and comprehensive benefits. In this role, this development team will play a pivotal role in integration AI technology into a massive RCM platform. The engineers and scientists are responsible for building AI and Machine learning models and pipelines, with a focus on agentic and generative AI, LLMs and predictive modelling. The Data Scientists will create and build machine learning models and solutions, often creating models from scratch. The AI Engineer will also work closely with data scientists and product leads to implement those ML/AI models, and build required data and code pipelines through rigorous engineering disciplines. To be successful in this role, it's imperative for candidates to have prior experience at a healthtech company (ideally working with RCM software) or company with large systems and data sets, and have an excellent grasp on deep learning, regression, classification, and clustering algorithms. This role is remote, but requires domestic travel for in-person collaboration. The location of these collaboration events is the most-centralized city based on where each teammember lives. All travel and meal costs are covered by the company.

REQUIRED SKILLS AND EXPERIENCE

- 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions

- Masters in Computer Science, Machine Learning, Artificial Intelligence, or related field

- 5+ years of recent experience in an Azure cloud environment using Azure Databricks as their primary AI tool

- 3+ years of experience with ML ecosystem tools, specifically pytorch and tensorflow

- Prior experience creating machine learning models and developing chatbots from scratch

- Avanced knowledge of MLOps fundamentals (orchestration tools, cloud compute, observability tools)

- Experience with langchain, llamaindex, haystack, azure AI studio, or other common tools in emerging LLM-enabled tech stacks - Strong Big Data framework experience (Hadoop or Spark)

NICE TO HAVE SKILLS AND EXPERIENCE

- Prior experience in revenue cycle management, health technology, or financial systems

SALARY

$140,000 -$195,000

Full-time

Fully remote