Principal AI Engineer - Evinova
Core
Design and deploy sophisticated agentic AI solutions using large language models for healthcare applications.
Role type
Principal AI Engineer (Agentic Systems & LLMs)
Builds
Automated agentic AI systems, NLP pipelines for retrieval and graph reasoning, observability pipelines for model performance.
Domain
Healthcare + Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Agentic AI design patterns, multi-agent collaboration, prompt engineering, NLP (retrieval, information extraction, graph reasoning), reinforcement learning, Python, TensorFlow, PyTorch, Google ADK, CrewAI, LangChain, LlamaIndex, AWS SageMaker, AWS Bedrock, AWS MSK, AWS EKS, AWS ECS, AWS OpenSearch.
Preferred skills
Ph.D. in relevant field, low-level ML programming (C/C++, Rust, CUDA), few-shot learning, meta-learning, explainable AI, responsible AI practices.
Responsibilities
Develop agent memory and tool-use architectures; create automated techniques for agent design and optimization; build observability pipelines; mentor engineers; contribute to organizational AI strategy.
Seniority
Principal, hands-on IC with strategic contribution
