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Staff AI Engineer
Raleigh, North Carolina, United States
$161k-$250k/yr OnsiteFull Time
7+ YOE7+ years software/ML experience,5+ years building LLM/AI systems,Python proficiency,experience with LLMOps/MLOps,platform engineering,LLM fine-tuning and evaluation;Bachelor's required,Master's preferred.
Python, AWS, Databricks, PEFT, LLM APIs, RAG pipelines, MLOps, LLMOps
3w
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Machine Learning Engineer/AI Engineer
United States or Raleigh or Durham or Cary or Washington
$97k-$130k/yr RemoteFull Time
4+ YOEBachelor's in CS/Data Science (Master/PhD preferred), 4+ years ML/AI engineering experience with applied LLM/AI deployments, Python and ML frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn), LLMs, embeddings, vector DBs, RAG, AWS/Azure, MLOps/CI/CD, healthcare/regulatory experience, mentoring and strong communication.
Python, TensorFlow, PyTorch, Hugging Face, scikit-learn, LLMs, RAG, embeddings, vector DBs, Pinecone, Weaviate, FAISS, AWS, Azure, MLOps, LLMOps, CI/CD, LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, HL7, FHIR, HIPAA, NLP
2mo
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Artificial Intelligence Engineer, Specialist
United States or Raleigh
$136k-$170k/yr RemoteFull Time
3+ YOEBachelor's in CS/Data Science; 3+ years ML/software engineering with LLM focus; Python with Transformers, vector DBs, LangChain/LlamaIndex; AWS, Docker/K8s, CI/CD; testing, data provenance, privacy by design
Python, Transformers, vector databases, FAISS, Pinecone, Weaviate, LangChain, LlamaIndex, AWS, Docker, Kubernetes, GitHub Actions, Testing, Observability, MLOps, LLMOps, CI/CD
3mo
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Assoc Director, IT Data Engineering
Raleigh, North Carolina, United States
$169k-$219k/yr HybridFull Time
10+ YOELead AI/data engineering delivery for enterprise AI across Commercial Digital Marketing; 10+ years in AI/DS/engineering; strong cloud, MLOps, and stakeholder leadership.
AWS, Databricks, Python, LLMOps, MLOps
3mo
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Assoc Director, IT Data Engineering
Raleigh, North Carolina, United States
$169k-$219k/yr HybridFull Time
10+ YOE10+ years AI solution delivery; experience leading technical delivery; AWS/Databricks; ML/GenAI; MLOps/LLMOps; Python; cloud data platforms; strong stakeholder leadership.
AWS, Databricks, Python, ML, LLM, GenAI