Job Opportunities API

As a Software Engineer , you will join our founding engineer to build the foundation of a category-defining company alongside a world-class team. This is a high-ownership, high-impact role where your decisions will shape the company's trajectory for years to come. This isn't maintenance engineering. Your decisions will define how enterprises run, customize, and trust a new next generation of AI-driven incident response preparedness. Responsibilities • Own tabletop exercise UX from scenario design through live facilitation to after-action reporting. • Apply IR/tabletop domain expertise so scenarios, agent behavior, and reports feel credible and operationally useful. • Fine-tune prompts and LLM workflows for coherence, realism, structured outputs, and production reliability, including expansion beyond cybersecurity cases. • Build and improve the generation engine and real-time facilitator/voice systems that power live exercises. • Ensure generated content aligns with real IR workflows: injects, escalation, attacker/defender dynamics, and actionable post-exercise recommendations. • Work full-stack to connect AI quality with a product security teams actually want to use. • Collaborate with customers to enhance usability, user experience. • Set technical standards for prompt evaluation, output QA, and attention to detail across the platform. Skills & Experience • Hands-on experience with incident response, security operations, or participating in tabletop exercises • Ability to judge whether AI-generated scenarios, facilitator behavior, and reports are credible, coherent, and useful for preparedness • Deep familiarity with AI/LLM trends and production application. • Demonstrated focus on usability and user experience • Strong attention to detail in customer-visible behavior (live session polish, error states, progress visibility, and content accuracy) • Desired: Working knowledge of IR workflows: detection, triage, escalation, containment, communications, and after-action review. Technology Requirements • Python, TypeScript, Node.js / React • LLMs (prompting, orchestration, evaluation) • AWS • PostgreSQL, MongoDB • Cursor (AI-assisted development) • Recall.ai (meeting/voice/video integrations) • WebSockets (real-time transport), SSE (Server-Sent Events) • Experience building MCPs and Skills