Job Opportunities API

Armis, the cyber exposure management & security company , protects the entire attack surface and manages an organization’s cyber risk exposure in real time. In a rapidly evolving, perimeter-less world, Armis ensures that organizations continuously see , protect and manage all critical assets - from the ground to the cloud . Armis secures Fortune 100, 200 and 500 companies as well as national governments, state and local entities to help keep critical infrastructure, economies and society stay safe and secure 24/7. Armis is a privately held company headquartered in California. AI Engineer / AI Developer Location: US (Remote)   About the Role We're building the next generation of secure AI infrastructure. Our team is creating the foundational technologies that allow AI agents to operate safely, securely, and reliably at scale. This includes building secure agent control planes, embedded controls, developer tooling, observability, and infrastructure that enables production-ready AI systems. This is a hands-on engineering role for someone who enjoys building products from the ground up. You'll partner closely with AI researchers and backend engineers to rapidly move ideas into production while helping establish engineering best practices across our AI Center of Excellence. This is NOT a machine learning or model training role. Instead, we're looking for exceptional backend engineers who understand modern AI systems and enjoy building the infrastructure and products around them. What You'll Do Design and build secure AI infrastructure for production AI agents. Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution. Build embedded controls and security mechanisms directly into AI agents. Develop reusable services, APIs, and developer tooling that support AI applications. Build and maintain integrations with modern Agent SDKs and Model Context Protocol (MCP). Design backend microservices using Python and AWS. Build observability into AI systems, including telemetry, monitoring, tracing, and operational visibility. Develop public-facing developer tools and command-line interfaces (CLI). Partner closely with AI researchers to rapidly transition prototypes into production-ready systems. Own projects from architecture through deployment. Help define engineering standards and reusable patterns across the AI platform. Collaborate with stakeholders across the board in our Product, Sales, and Executive teams. Along with collaborate with senior engineers while independently leading technical initiatives when appropriate What We're Looking For Required 3+ years of professional software engineering experience. Strong backend engineering background. Excellent Python development experience. Experience building backend services and microservice architectures. Experience working with AWS cloud services. Experience designing APIs and distributed systems. Hands-on experience building AI applications, AI agents, or agentic workflows. Experience working with Agent SDKs. Familiarity with Model Context Protocol (MCP). Experience building developer tools, APIs, or CLI applications. Strong understanding of software architecture and production engineering. Comfortable working in startup environments with significant ownership. Ability to independently drive projects from concept through production.   Preferred Qualifications Experience building Agent Control Planes. Experience implementing embedded controls or policy enforcement within AI agents. Experience building AI observability platforms. Security engineering background. Infrastructure engineering background. Experience building secure AI systems. Experience working with LLMs in production environments. Experience with Kubernetes and containerized services. Experience integrating AI systems with