Hiring: Principal AI Engineer - Evinova Company: Evinova Location: Gaithersburg, MD Job Posted Time: 2026-09-16 09:56:56 Employment Type: Full-time Target Skills & Keywords: Agentic AI, LLM Orchestration, Multi-Agent Systems, Deep Learning, NLP, Generative AI, Prompt Engineering, Python, TensorFlow, PyTorch, Google ADK, CrewAI, LangChain, LlamaIndex, AWS (SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch), Reinforcement Learning, AI Ethics, Responsible AI Experience: - 4+ years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI - Extensive prior experience exploring and testing language model behavior, prompting, and building products with language models - Demonstrated technical leadership experience, including successful delivery of large-scale AI projects (desirable) - Experience developing complex agentic systems using LLMs (desirable) Required Skills: - Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, Google ADK, CrewAI, LangChain, LlamaIndex) - Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, ECS, OpenSearch) - Deep understanding of agentic AI systems and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) - Build and deploy sophisticated agentic AI solutions using state-of-the-art LLMs - Develop novel approaches to agent memory, tool use, and multi-agent collaboration - Build sophisticated NLP systems for retrieval, information extraction, structured generation, and graph reasoning - Create automated techniques for agent design, evaluation, and optimization - Build specialized observability pipelines for continuous model and agent performance monitoring - Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences Qualifications: - Bachelor's degree in Engineering, Mathematics, or Computer Science - Ph.D. in a relevant field such as mathematics, computer science, or data science (desirable) - Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.) (desirable) - Contributions to open-source AI projects or development of proprietary AI frameworks (desirable) - Expertise in areas such as few-shot learning, meta-learning, and explainable AI (desirable) - Experience with AI ethics, responsible AI practices, and navigating regulatory landscapes for AI deployment in the life science industry (desirable) Compensation: - Annual base pay range: $144,648.80 - $216,973.20 USD - Short-term incentive bonus opportunity - Eligibility to participate in equity-based long-term incentive program - Benefits include a qualified retirement program (401(k) plan), paid vacation and holidays, paid leaves, and health benefits including medical, prescription drug, dental, and vision coverage Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!