Lead Software Engineer (Safety)
Core
Drive technical strategy, architecture, and deployment of secure AI systems and multi-agent frameworks in high-stakes domains.
Role type
Lead Software Engineer (AI Safety & Infrastructure)
Builds
Production-grade secure ML software, orchestration tools, scalable cloud infrastructure, and safety evaluation frameworks.
Domain
Artificial Intelligence, Machine Learning, Cybersecurity, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, LLM application design, multi-agent frameworks, AI safety evaluation, cloud platforms (AWS/Azure/GCP), container orchestration (Docker/Kubernetes), cybersecurity, PyTorch/TensorFlow
Preferred skills
Enterprise system architecture, cross-functional leadership, strategic advisory
Technologies
Python, PyTorch, TensorFlow, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Steer technical strategy and system architecture for complex ML systems; Architect production-grade secure ML software and cloud infrastructure; Establish standards for safe and ethical ML deployment; Collaborate with stakeholders to translate client needs into AI solutions; Advise senior clients on AI safety and technical strategy; Mentor engineering talent and elevate team capabilities.
Seniority
Senior, hands-on IC with leadership responsibilities
