Senior AI Engineer

What You’ll Do

• Autonomous System Architecture: Design and implement the technical architecture for Sentia’s core AI agents, including the development of planning modules, memory/retrieval systems, goal-setting algorithms, and tool-use orchestration.
• Reinforcement Learning (RL) for Behavior: Apply advanced RL, Inverse RL, or related control theory methods to develop agents capable of adaptive, long-term intervention strategies that maximize positive user outcomes while minimizing risk (e.g., optimizing interaction sequencing, timing, and content).
• LLM Integration and Fine-tuning: Select, fine-tune, and deploy foundation models (LLMs) to power agent reasoning, natural language understanding, and empathetic, context-aware communication with users.
• Complex Interaction Modeling: Develop models for human-agent interaction (HAI), incorporating principles from cognitive science and behavioral economics to ensure agents are effective, trustworthy, and aligned with therapeutic protocols.
• Simulated Environments: Construct robust simulation environments for pre-training and testing agent policies, ensuring system stability and safety across a wide range of psychological and behavioral scenarios.