Acentra Health is looking to empower better health outcomes through technology, services, and clinical expertise by building, optimizing, and integrating machine learning (ML) and large language model (LLM) solutions to drive innovation, improve healthcare outcomes, and create operational efficiencies.
Requirements
- Master’s degree in computer science, Data Science, or related field (PhD preferred)
- 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
- Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel)
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
Other
- 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments
- Excellent communication skills and experience mentoring and collaborating with engineers
- Position is remote, but candidates based in Raleigh/Durham/Cary, NC or DC area preferred
- Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules
- Travel requirements not specified
