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 to solve complex clinical challenges.
Role type
Principal AI Engineer (Agentic AI & LLM Orchestration)
Builds
Intelligent agents for clinical trials, drug discovery, and patient care; automated evaluation systems; multi-modal healthcare AI assistants.
Domain
Life Sciences / Healthcare / Generative AI
Deliverable
production ML models
Required skills
Agentic AI systems design, LLM orchestration, multi-agent collaboration, NLP (retrieval, information extraction, graph reasoning), prompt engineering, automated evaluation techniques, Python, TensorFlow, PyTorch, Google ADK, Crewai, LangChain, LlamaIndex, AWS (SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch), deep learning, reinforcement learning.
Preferred skills
Ph.D. in relevant field, low-level languages (C/C++, Rust, CUDA), few-shot learning, meta-learning, explainable AI, AI ethics and regulatory navigation for life sciences.
Technologies
TensorFlow, PyTorch, Google ADK, Crewai, LangChain, LlamaIndex, AWS SageMaker, AWS Bedrock, AWS MSK, AWS EKS, AWS ECS, AWS OpenSearch
Responsibilities
Design advanced AI systems and build/deploy agentic solutions; develop novel approaches to agent memory and tool use; drive technical innovation in agent design and observability; lead cross-functional collaboration with product and clinical teams; contribute to the field via publications and open-source.
Seniority
Principal, hands-on IC with technical leadership
