Assail is a company focused on autonomous offensive security platforms. They are seeking a Senior AI Engineer to develop and enhance the Ares platform's agents and models, contributing to capabilities such as exploit chaining and multimodal vision.
Responsibilities:
- Design, implement, and continuously improve the behavior and prompting of Ares' named agents, including orchestration patterns, hand-offs, planning loops, tool use, and shared memory
- Contribute to the model powering Ares across data curation, SFT, preference optimization (DPO/GRPO-style), and evaluation. Own pieces of the training pipeline from dataset construction through eval
- Extend the co-evolutionary self-training system that lets Ares learn from its own engagements and improve over time
- Build false-positive detection, tiered skill learning (suppression rules, agent directives, code-patch proposals), and the infrastructure that routes proposed changes through human approval and back into the platform
- Design rigorous, security-specific evaluations covering OWASP Top 10 coverage, exploit chaining, finding accuracy, and agent reliability. Track performance over every model and agent change
- Contribute to vision capabilities, mobile (iOS/Android) coverage, and BYOK support shipping in Sidewinder and beyond
- Own latency, cost, observability, and failure-mode analysis for agents running in customer engagements. Partner with the platform team on Kubernetes-based deployment
- Contribute to the live accuracy gauge and other surfaces where model and agent quality is exposed to customers