Artificial Intelligence Engineer

Role: Senior AI EngineerType: Full TimeLocation: Boston, MAAbout the RoleThe Senior AI Engineer is a core builder on the team responsible for the agents and models that power Ares — Assail's autonomous offensive security platform for APIs, web applications, and mobile applications. This role works directly on Ares' named-agent architecture (Polemos, Hermes, Enyo, Momos, Dolos, Themis, Aletheia, Argus, Kratos), the model powering Ares, and the Javelin co-evolutionary self-training loop. The engineer will ship capabilities that move the platform forward across exploit chaining, multimodal vision, mobile coverage, self-improvement, and customer-facing accuracy.Responsibilities5+ years building production ML/AI systems, with at least 2 years working directly on LLMs or LLM-powered agents.Deep Python; strong, production-grade engineering practices (testing, code review, observability).Hands-on fine-tuning experience: SFT, preference optimization (DPO, GRPO, RLHF/RLAIF), data curation, and synthetic data generation.Strong grasp of transformer architectures and the modern training stack (PyTorch, Hugging Face, DeepSpeed or FSDP, accelerate).Experience designing and shipping multi-agent or tool-using LLM systems in production — not just demos.Rigorous eval design: building harnesses, tracking experiments, and making model/agent decisions based on data rather than vibes.Inference optimization experience: vLLM or TensorRT-LLM, quantization, throughput/latency tradeoffs.Comfort with retrieval pipelines, vector stores, and structured memory for agents.Kubernetes and containerized deployment fluency.Genuine interest in offensive security and the ability to ramp quickly on OWASP Top 10, API security, web app pentesting, and mobile pentesting concepts. Direct offensive security background is a strong plus but not required.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.QualificationsEducation details not specified.Required SkillsExperience with adversarial ML or red-teaming AI systems.Familiarity with mobile app reverse engineering or binary analysis.Preferred SkillsExperience with adversarial ML or red-teaming AI systems.Familiarity with mobile app reverse engineering or binary analysis.