Principal Engineer, Full‑Stack (Agentic AI)

permanent

Fully Remote

Only accepting applications from: United States

Lead requirements analysis, software architecture, and design for full-stack systems infused with agentic AI components.
Develop scalable, secure cloud-native (AWS/Azure/GCP) services combining REST/microservices, modern frontend frameworks, and AI-driven decision logic.
Implement autonomous modules capable of planning, proactive actuation, and continuous learning.
Integrate explainability, feedback loops, and safe-guard mechanisms into agentic behaviors.
Drive best practices in coding standards, code reviews, automated testing, CI/CD, and DevOps workflows.
Mentor and lead engineers in building trustworthy, agentic systems while championing Agile/Scrum methodologies.
Collaborate cross-functionally to align AI behaviors with security, privacy, UX, and compliance goals.
Document development lifecycle, maintain existing services, and originate new agentic capabilities.

Experience

12+ years in software engineering including backend: Java/Spring or , REST, microservices, and containerization (Docker, Kubernetes)
Frontend experience: React, TypeScript, CSS, UI component libraries, accessibility, and emerging micro-frontend architecture (preferred)
Cloud platforms experience (AWS, Azure, or GCP), DevOps, observability, CI/CD pipelines.
Prior involvement with AI/ML systems, ideally including autonomous or agentic behavior design, prompt engineering, reinforcement learning, or rule-based reasoning systems.
Comfortable balancing reactive and proactive systems and integrating human-in-the-loop control and transparency.
Proven record leading engineering teams—planning, mentoring, delivering complex enterprise solutions.
Excellent communication and consensus-building skills; able to explain sophisticated AI behavior clearly.
Proactive, customer-centric mindset.
Familiarity with Identity Governance & Administration (IGA), Privileged Access Management (PAM), or Connector frameworks is a strong plus
Adaptability in fast-paced, changing environments.
Keen attention to ethical and responsible AI practices, especially around autonomy and security.
Bachelor’s or Master’s degree in CS, Engineering, or equivalent experience.