AI Engineer

LTD Global
Columbia, MD, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Health Informatics Clinical Data Repository Information Engineering Interoperability Python (Programming Language) Machine Learning Natural Language Processing SQL Databases Fast Healthcare Interoperability Resources
+8 more
Large Language Models Snowflake Prompt Engineering Apache Spark Generative AI Pyspark Health Level Seven International Databricks

Requirements

Do you have experience in SQL?, * 5+ years of experience in AI/ML, Data Science, or Data Engineering

  • 3+ years of experience working with healthcare data
  • Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies
  • Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or clinical data
  • Familiarity with healthcare interoperability standards such as FHIR and HL7
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
  • Experience supporting federal healthcare programs or CMS initiatives is highly preferred

Preferred Skills:

  • Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
  • Databricks, Snowflake, Spark/PySpark
  • Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all