Acentra HealthRemote
Artificial Intelligence Engineer, Specialist
United States of America
Full Time
2 weeks ago
$136,000 - $155,000 USD
H1B Sponsor Likely
Key skills
PythonAIArtificial IntelligenceMLLLMRAGLangChainLlamaIndexMLOpsPineconeWeaviateAWSK8sDockerGitHub ActionsGitHubCI/CD
About this role
Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. They are seeking an Artificial Intelligence Engineer, Specialist to build, modernize, and maintain their Care Management product suite, focusing on productizing AI Proof of Concepts and enhancing AI features and services.
Responsibilities:
- Design & Build: Implement LLM-powered services (RAG/ agents/ classifiers/ extractors), APIs, and microservices with strong reliability, testing, and observability
- Evaluation & Guardrails: Implement offline/online evals, red-team tests, prompt/response guardrails, bias/privacy checks, and cost/latency tracking
- Data & Integration: Connect to internal data platforms and line-of-business apps; build retrieval pipelines, grounding strategies, and prompt construction
- Standards & Practices: Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance
- Operational Readiness: Produce runbooks, SLOs, dashboards, and IaC/CI-CD; partner with InfoSec/Compliance on PHI handling and auditability
- Reuse at the Core: Contribute libraries/templates (RAG starters, agent patterns, eval harnesses) to speed the next build
- Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules
Requirements:
- Bachelors degree in Computer Science, Data Science, or a related field
- 3+ years in software or ML engineering with recent focus on LLM applications
- Strong Python; experience with one or more: Transformers, vector DBs (FAISS/Pinecone/Weaviate), orchestration (LangChain/LlamaIndex), retrieval pipelines
- Cloud & DevOps: AWS services, containers (Docker/K8s), CI/CD (GitHub Actions), observability
- Quality mindset: testing, evals, prompt hygiene, data provenance, and privacy by design
- Master's degree in Computer Science, Data Science, or a related field
- Healthcare/regulated domain experience
- Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA)
- Expertise in Document AI/OCR, model monitoring, and application performance management (APM)