Agentic AI Engineer
Core
Design, build, and manage autonomous AI agents that plan actions, use tools, and execute complex security workflows within an AI-driven SOC platform.
Role type
Senior IC Agentic AI Engineer
Builds
Autonomous security operations agents, orchestration systems, and tool-integrated workflows for security analysts.
Domain
Cybersecurity / AI Engineering
Deliverable
production ML models | product features
Required skills
Python, C#, JavaScript/TypeScript, React, API-driven system design, LLM integration, tool/function calling, structured outputs, retrieval-augmented generation, multi-step agent workflows, agent design patterns (planning, memory, state management), error recovery, guardrails, validation logic, human-in-the-loop controls, observability, CI/CD, testing, evaluation, prompt iteration.
Preferred skills
Docker, Kubernetes, Azure, AI coding tools, cybersecurity domain knowledge, automation, reliability practices for LLM applications.
Technologies
Azure, C#, Docker, JavaScript, Kubernetes, LLM, Python, React, TypeScript
Responsibilities
Design and implement agent orchestration and multi-step planning connecting LLMs to backend services and APIs. Create guardrails and validation logic to ensure safe, auditable agent behavior. Integrate agentic capabilities into production systems across services. Collaborate with engineering and product teams to define agent behavior and deliver user-facing improvements. Improve agentic systems through evaluation, testing, and iteration. Support production readiness via observability, debugging, and operational reliability practices. Contribute reusable internal patterns, prompts, tools, and agent scaffolding.
Seniority
Senior, hands-on IC
