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Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Lead design and delivery of scalable AI systems for autonomous threat detection and response. Build and productionize LLMs, graph reasoning engines, streaming feature pipelines, and orchestration frameworks. Own evaluation, reliability, and cross-functional collaboration while mentoring engineers and experimenting with RAG, tool-calling agents, and multi-modal models.

The Customer Engineer will provide technical expertise during sales, ensure efficient customer onboarding, support incident planning, and represent TENEX at industry events while developing cloud security knowledge.

TENEX.AI is seeking talented individuals for future cybersecurity roles. Submit applications for potential opportunities in a rapidly growing startup.

The Staff Software Engineer will lead technical vision and execution, drive architectural decisions, mentor engineers, and ensure code quality and scalability.

The Enterprise Sales Director will drive revenue growth by identifying and closing new business opportunities, manage client relationships, and collaborate with internal teams to enhance customer satisfaction.

Lead the end-to-end product lifecycle for AI-native cybersecurity offerings, defining multi-year AI strategy, translating LLM research into automated detection and response, and partnering cross-functionally to deliver agentic automation that reduces alert fatigue and drives measurable security outcomes.

Own product marketing campaigns end-to-end: craft messaging and content (blogs, whitepapers, sales enablement), execute multi-channel campaigns, build persona journeys, measure and optimize performance, and partner with product, sales, and analysts to drive pipeline.

As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.

Design and develop scalable backend services and APIs, building frontend applications, collaborating on features, and ensuring system reliability. Lead technical projects and improve engineering practices.