Senior Applied AI Engineer
Core
Conduct end-to-end applied AI research to solve hard security questions, build self-improving agent systems, and provide evidence-based decisions for product deployment.
Role type
Senior/Staff Applied AI Engineer (Research & Engineering)
Builds
Self-improving agent systems, evaluation platforms, and prototypes/playgrounds for stakeholders
Domain
Cybersecurity, Applied AI, LLMs, Agentic Workflows
Deliverable
research | product features
Required skills
LLM system development, agent architecture, third-party model APIs, open-weight models, Kubernetes inference, Flyte orchestration, evaluation framework design, Python, ML fundamentals, coding agents (Claude Code/Cursor)
Preferred skills
Fine-tuning/serving open-weight models, automated prompt/pipeline optimization, multi-GPU serving, MCP/tool protocols, cybersecurity domain knowledge
Technologies
Kubernetes, Flyte, LiteLLM, Langfuse, Python, Claude Code, Cursor
Responsibilities
Frame and answer hard research questions with evidence, build systems that improve themselves via long-loop evaluation, extend evaluation platforms for agent behavior measurement, work across hosted and self-hosted models, improve coding agent workflows, build prototypes and APIs for stakeholder testing, advise on production deployment and monitoring, mentor engineers
Seniority
Senior/Staff, hands-on IC with mentorship