Principal AI Engineer - Evinova
Core
Design and implement sophisticated agentic AI systems that power next-generation life sciences solutions, building intelligent agents to reason, plan, and act autonomously for clinical challenges.
Role type
Principal AI Engineer (Agentic AI & LLMs)
Builds
Intelligent agents for clinical trials, drug discovery, and patient care
Domain
Life Sciences / Healthcare AI
Deliverable
production ML models
Required skills
Agentic AI systems design, LLM orchestration, Multi-agent systems, NLP (retrieval, extraction, graph reasoning), Prompt engineering, Python, TensorFlow, PyTorch, AWS (SageMaker, Bedrock, EKS), Reinforcement learning
Preferred skills
Ph.D. in relevant field, Low-level languages (C/C++, Rust, CUDA), Few-shot/meta-learning, Explainable AI, AI ethics & regulatory navigation
Technologies
Crewai, LangChain, LlamaIndex, Google ADK, OpenSearch, MSK, ECS
Responsibilities
Design advanced AI systems and deploy agentic solutions, Develop novel approaches to agent memory and tool use, Create automated techniques for agent evaluation and optimization, Partner with product and clinical teams to translate AI capabilities, Mentor engineers and contribute to AI strategy
Seniority
Principal, hands-on IC with technical leadership
