Principal Applied Scientist
Core
Translate cutting-edge Generative AI research into high-impact, production-ready AI solutions, specifically focusing on agent planning, memory, grounding, reasoning, and long-horizon task completion.
Role type
Principal Applied Scientist (Generative AI & Agentic Systems)
Builds
Scalable Agentic AI Systems, end-to-end agent workflows, and production-grade LLM systems.
Domain
Artificial Intelligence, Generative AI, Large Language Models (LLMs), NLP
Deliverable
production ML models
Required skills
Generative AI, deep learning, NLP, multimodal models, agent planning, memory, grounding, reasoning, long-horizon task completion, lightweight fine-tuning (LoRA), foundation models, prompt engineering, RAG, knowledge graphs, multi-agent architectures, classical ML, function calling, code execution, API integration, vector databases, AIOps, MLOps, Python, PyTorch, TensorFlow, model serving, experimentation design, technical leadership, mentorship
Preferred skills
PhD in CS/ML/AI/NLP, MS with significant production experience, 10+ years hands-on NLP/LLM experience, enterprise-scale system optimization, mission-critical system experience
Technologies
LoRA, RAG, Knowledge Graphs, Vector Databases, PyTorch, TensorFlow, Python
Responsibilities
Design and execute experiments to improve agent capabilities; implement state-of-the-art approaches using foundation models and multi-agent architectures; build and ship scalable agentic AI systems; design robust multi-step reasoning and tool-use strategies; build and maintain offline and online evaluation pipelines; support production operations (AIOps/MLOps); demonstrate mentorship or technical leadership.
Seniority
Principal, hands-on IC with strategic impact
