Senior Software Engineer
Core
Lead the development of AI-native, multi-agent systems to help enterprises securely adopt AI at scale, bridging AI engineering, security, and customer readiness.
Role type
Senior AI Engineer (IC)
Builds
Multi-agent AI systems, production-grade ML models, scalable data pipelines, and AI readiness frameworks for enterprise security domains.
Domain
Enterprise Security, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
AI/ML system design, LLM and agentic system development, distributed systems architecture, Python programming, MLOps practices, data pipeline engineering, model governance
Preferred skills
Large-scale distributed systems experience, RAG architectures, vector databases, cloud platform expertise (Azure), statistics and optimization fundamentals, cross-org collaboration
Technologies
Python, LLMs, RAG, Vector Databases, MLOps, Azure
Responsibilities
Design and build multi-agent AI systems leveraging LLMs and RAG; Develop and productionize ML models for enterprise signals; Architect scalable data ingestion and training systems; Build and operate scalable data pipelines and training infrastructure; Deploy models into production using MLOps practices; Define and operationalize AI readiness frameworks and metrics; Partner across teams to translate business problems into AI-driven solutions; Lead end-to-end delivery of complex AI and security initiatives.
Seniority
Senior, hands-on IC
