Assail is seeking a Senior AI Engineer to join their Ares AI Engineering team, focusing on enhancing their autonomous offensive security platform for various applications. The role involves developing agents, training models, and improving system performance while ensuring customer-facing accuracy and production reliability.
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