Senior AI Engineer designing and implementing AI agents for Talkspace's behavioral health platform. Leading technical architecture and applying RL techniques for safe and ethical user interactions.
Responsibilities
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.
Performance and Resilience: Optimize the deployment environment to manage the computational demands of multi-agent orchestration, ensuring low-latency decision-making and high system resilience.
Technical Strategy: Lead the evaluation and adoption of new agentic frameworks, reasoning technologies, and system design patterns that position Sentia as a leader in autonomous behavioral health technology.
Agent Evaluation & Observability: Design and implement comprehensive evaluation pipelines for multi-agent orchestration—including visualisations, trace-level analysis of LLM calls and tool invocations, offline evaluation against golden datasets, real-time production monitoring for behavioral drift and outcome correlation, guardrails, and human-in-the-loop annotation workflows. Establish metrics frameworks to assess reasoning quality, task completion, safety compliance, and task alignment across the full agent lifecycle.
Requirements
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a highly quantitative field.
Minimum of 5+ years of experience in a production software engineering environment, with at least 3+ years specifically focused on designing, implementing, and deploying complex machine learning or autonomous systems.
Exceptional Python Programming Skills: Mastery of Python and its scientific libraries.
Production MLOps Expertise: Demonstrated experience building and managing CI/CD pipelines for ML models and integrating them into service-oriented architectures (SOA).
Autonomous/Agentic Systems: Strong theoretical understanding and practical application of techniques central to agentic AI, such as Reinforcement Learning (RL), planning algorithms, or complex decision-making systems.
LLM Deployment: Hands-on experience fine-tuning, deploying, and managing Large Language Models (LLMs) in a production environment, including knowledge of prompt engineering, retrieval-augmented generation (RAG), and cost optimization.
Software Engineering Rigor: Proven ability to write high-quality, maintainable, scalable, and well-tested production code.
Proficiency with cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes).
Benefits
Comprehensive Medical, Dental and Vision plans coverage since day one
Pre-tax benefits: HSA/ FSA
401k Retirement Savings Program with matching up to 4%
Voluntary benefits including disability, basic life or pet insurance, etc.
Monthly Wellness Stipend to promote mental and physical self-care
Flexible PTO and Remote First Environment
Regular team events, including Wellness Workshops and Team Building Events
Free access to Talkspace products for you and one household member, as well as access to a friends and family discount!
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