Machine Learning Engineer/AI Engineer

Acentra Health, LLC • Raleigh, NC

116d • $97,040 - $130,000

About The Position

Acentra Health is looking for a Machine Learning Engineer/AI Engineer to join our growing team. This role emphasizes generative AI (GenAI), retrieval-augmented generation (RAG), and natural language processing (NLP) to drive innovation, improve healthcare outcomes, and create operational efficiencies. The ideal candidate has experience deploying ML/LLM solutions in production, exposure to MLOps/LLMOps, and a strong ability to mentor engineers. They combine technical excellence with problem-solving skills to deliver scalable, compliant, and impactful AI solutions in the healthcare domain.

Requirements

• Master’s degree in computer science, Data Science, or related field (PhD preferred)
• 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments
• Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn)
• Hands-on experience with LLMs, embeddings, vector DBs, and RAG pipelines
• Cloud experience with AWS and Azure for deploying and managing AI systems
• Familiarity with MLOps/LLMOps and CI/CD practices
• Experience deploying ML/LLM systems in healthcare or other regulated environments
• Excellent communication skills and experience mentoring and collaborating with engineers

Nice To Haves

• Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel)
• Exposure to multi-agent system design and implementation
• Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA)

Responsibilities

• Design, develop, and deploy LLM-powered applications (e.g. summarization, intelligent assistants, document processing, automation)
• Strong skills in API development and system integration, with the ability to contribute across the full stack
• Build and optimize RAG pipelines using embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS)
• Support ML pipelines including data preparation, training workflows, and deployment into applications
• Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance
• Mentor and coach engineers on best practices, solution architecture, and applied AI strategies
• Partner with business and product teams to translate requirements into effective AI solutions
• Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA)
• Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules

Benefits

• Comprehensive health plans
• Paid time off
• Retirement savings
• Corporate wellness
• Educational assistance
• Corporate discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree