Agentic Engineer

**Agentic Engineer** \| 100% Remote (WFH) Opportunity **General Summary** The Agentic Engineer will be responsible for designing, building, and deploying production\-grade agentic AI systems that autonomously execute multi\-step workflows across our insurance operations. You will work at the intersection of LLM orchestration, tool integration, and enterprise systems to bring agent\-native capabilities to life. Responsibilities span the full agentic stack: from defining agent anatomy (triggers, loops, tools, memory, human gates, and observability) to hardening agents for reliability, safety, and governance in a regulated environment. **Essential Duties and Responsibilities** * Design and build end\-to\-end agentic workflows that autonomously execute multi\-step business processes, including FNOL processing, claims triage, and audit automation. * Develop and maintain agent orchestration patterns using frameworks such as LangChain, LangGraph, or custom\-built agent loops, integrating LLMs with enterprise tools, APIs, and data platforms. * Implement robust tool use layers, including function calling, MCP integrations, and structured output validation, to connect agents to internal systems and external services. * Design and enforce human\-in\-the\-loop gate patterns, escalation logic, and approval checkpoints to ensure agents operate within defined authority boundaries in a regulated insurance environment. * Build and manage memory tier strategies for agents, including in\-context, external retrieval (RAG/vector stores), and episodic memory patterns appropriate to each workflow. * Instrument agents with full observability: structured logging of agent reasoning traces, tool call outcomes, token usage, latency, and failure modes to support monitoring, debugging, and audit requirements. * Implement prompt injection defenses, output validation, and agent identity controls to maintain security and prevent misuse or unintended agent behavior in production. * Evaluate and benchmark agent performance through end\-to\-end testing, red\-teaming, and simulation of edge cases to validate reliability before production deployment. * Partner with Product Owners and Enterprise Architects to translate business workflows into agent\-native designs, ensuring alignment on scope, authority, and fallback behaviors. * Champion CI/CD best practices for agent deployments, including versioned prompts, tool schemas, and agent configurations with rollback capability across Dev, QA, and Prod environments. * Contribute to and extend internal agentic infrastructure, including shared tool registries, reusable agent templates, and platform abstractions that accelerate agent development across the team. * Other duties as assigned. **Requirements \| Background and Experience/Expertise** * Previous experience building and deploying AI agents, LLM\-powered applications, or agentic workflow systems in a production\-like environment is required. * Demonstrated experience with agent