Staff/Senior Agentic AI Engineers (Multiple roles)

About the role(s)

To accelerate this mission, we are hiring for multiple roles across both the Senior and Staff levels.

Job Responsibilities

• Design and implement a robust, secure, and scalable Agentic AI platform, establishing standard patterns for multi-agent orchestration, state management, tool usage, and memory.
• Drive the technical execution of brand-new, agent-driven product features from initial ideation to production deployment. You will build systems to parse requirements, map software modules, and auto-generate test cases - boosting engineering velocity without sacrificing the compliance rigor required for FDA-cleared software.
• Implement advanced guardrails, evaluation frameworks, and reasoning validation loops to ensure agent behaviors are safe, deterministic, and highly accurate within a medical context.
• Enable agents to interact dynamically with complex medical data structures, Electronic Health Records (EHRs), imaging pipelines, and internal APIs.
• Work closely with product managers, clinical experts, and data scientists to translate clinical needs into technical AI agent architectures.
• Mentor junior/mid-level engineers, champion software engineering best practices (CI/CD, comprehensive testing, logging for non-deterministic systems), and stay ahead of the rapidly evolving AI landscape.

Required Qualifications

• 5+ years (Senior) or 8+ years (Staff) of professional software engineering experience, with a proven track record of shipping production-grade software.
• Deep, hands-on experience building applications with Large Language Models (LLMs) and a strong understanding of agentic architectures.
• Experience with orchestration frameworks and vector databases.
• Advanced proficiency in Python or Go, alongside a solid grasp of microservices, API design, and cloud infrastructure (AWS or GCP).
• A passion for greenfield projects - you thrive in ambiguity, enjoy designing systems from scratch, and love solving complex, open-ended problems.

Nice-to-Have

• Experience deploying AI applications in regulated industries (Healthcare, Finance, etc.) or navigating HIPAA/GDPR compliance.
• Active contributions to open-source LLM or Agentic AI frameworks.
• Experience with advanced prompt engineering, fine-tuning, or RAG optimization.