Hiring: Senior AI Engineer (US) Company: Assail Location: Boston, NY Job Posted Time: 2026-09-16 13:25:54 Employment Type: Remote Target Skills & Keywords : Android, Fine-tuning, Hugging Face, Kubernetes, LLM, OWASP, PyTorch, Python, TensorRT, iOS, vLLM About the job Experience: •5+ years building production ML/AI systems, with at least 2 years working directly on LLMs or LLM-powered agents. •At least 2 years working directly on LLMs or LLM-powered agents. Required Skills: •Agent development. 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. •Model training and fine-tuning. 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. •Javelin loop. Extend the co-evolutionary self-training system that lets Ares learn from its own engagements and improve over time. •Self-improvement systems (ARES-420 and successors). 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. •Evals. 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. •Multimodal and platform expansion. Contribute to vision capabilities, mobile (iOS/Android) coverage, and BYOK support shipping in Sidewinder and beyond. •Production reliability. Own latency, cost, observability, and failure-mode analysis for agents running in customer engagements. Partner with the platform team on Kubernetes-based deployment. •Customer-facing accuracy. Contribute to the live accuracy gauge and other surfaces where model and agent quality is exposed to customers. Qualifications: •Offensive security background: OSCP/OSWE/OSWA, CTF, bug bounty, or prior red team work. •Research publications at NeurIPS, ICML, ICLR, USENIX Security, IEEE S&P, Black Hat, or DEFCON. •Open source contributions to agent frameworks or LLM tooling. •Operational familiarity with mobile app reverse engineering or binary analysis. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!