AI Applied Researcher — Triage, Investigation & Response

AdversAI — Autonomous Cyber Defense. Powered by AI. At AdversAI , we’re building the next generation of cybersecurity infrastructure — one where AI agents handle threats at machine speed and scale. Our platform uses LLMs, retrieval-augmented generation (RAG), and real-time data pipelines to triage, investigate, and respond to security events with unprecedented intelligence. We’re looking for an AI Applied Researcher to join our mission and help build the core intelligence layer of our autonomous response engine. What You'll Work On As part of our AI team, you’ll help build the “brain” of AdversAI: intelligent agents that understand alerts, investigate root causes, and orchestrate actions — autonomously. You'll work on: Agentic reasoning : Designing and optimizing multi-step agent flows that can triage and respond to alerts accurately and transparently. Scalable LLM integrations : Bringing the power of LLMs to environments with tight latency and cost requirements. RAG systems : Building retrieval pipelines that ground model outputs in real, contextual data. Fine-tuning and evaluation : Experimenting with model adaptation strategies to improve task performance and reduce hallucinations. The Problems You'll Tackle Accuracy : Build systems that can correctly triage and investigate alerts, with full explainability at every step. Scalability : Deliver enterprise-grade AI that performs at speed and within budget. Adaptability : Support diverse customer environments with different data sources, architectures, and use cases. Autonomy : Enable AI agents to make intelligent decisions without constant human input. You Might Be a Fit If You Have... Proven experience building applied AI systems, from prototype to production Deep understanding of NLP, LLMs, and agentic workflows (e.g., LangChain, Autogen, or similar) Hands-on experience with RAG pipelines , vector databases, and prompt engineering A track record of building or fine-tuning LLMs to improve performance on real-world tasks The ability to move quickly, think independently, and own your work from start to finish A collaborative mindset — you enjoy working closely with engineers, designers, and product Bonus: Experience in cybersecurity, anomaly detection, or enterprise threat response systems Prior work in early-stage startups or fast-moving research teams What We Offer Top-tier salary and generous equity Unlimited PTO – recharge when you need to Full health benefits – Medical, Dental, Vision A collaborative, low-ego team focused on shipping fast In-person team retreats and workspaces (SF preferred or remote-friendly) #J-18808-Ljbffr Salary: USD 72000 - 108000 per year