Software Engineer, OpenShell
Core
Building runtime infrastructure for secure, scalable, production-grade AI agents by translating cutting-edge research into enterprise-ready tools and workflows.
Role type
Senior Research Engineer (AI Infrastructure)
Builds
Secure agent runtimes, evaluation harnesses, red-team tools, and developer experiences for agentic systems.
Domain
Artificial Intelligence, Large Language Models, Agent Systems, High-Performance Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Research engineering, LLMs, agent harnesses, evaluation frameworks, adversarial ML, agent safety/security, inference infrastructure optimization, open-source development, product sense, independent technical investigation
Preferred skills
Secure agent runtimes, tool sandboxing, compliance/governance (SOC2, HIPAA, GDPR), LLM inference backends (Triton, TensorRT-LLM, vLLM, SGLang, Ray, Kubernetes), open-source AI agent tooling
Technologies
Triton, TensorRT-LLM, vLLM, SGLang, Ray, Kubernetes, cloud GPU platforms
Responsibilities
Track cutting-edge research in agentic systems (tool use, planning, memory, safety), benchmark and adapt methods from papers and internal research, build rapid prototypes and proof-of-concepts, design red-team evaluation harnesses, secure workflows for agents operating with tools and enterprise systems, partner across engineering, product, and research teams
Seniority
Senior, hands-on IC with research leadership
