Agentic Engineer

 Posted 2 hours ago
     
 $105K - $160K per year
  
5-10 years experience
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AI Summary

The Agentic Engineer will design, build, and deploy production-grade agentic AI systems to automate multi-step workflows within insurance operations. Responsibilities include managing the full agentic stack, ensuring system reliability, safety, and observability in a regulated environment.

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 agentic orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or custom agent loops) and LLM tool/function calling patterns.
  • Strong understanding of machine learning techniques, software architecture and distributed systems, including how agents interact with APIs, databases, message queues, and external services at runtime.
  • Hands-on experience with RAG architectures, vector databases (e.g., Pinecone, pgvector, Chroma), and embedding strategies for grounding agent responses in enterprise knowledge.
  • Familiarity with AI safety and trust concepts relevant to agentic systems: prompt injection, output sanitization, privilege minimization, and human oversight patterns.
  • Ability to write robust, production-quality code in Python; proficiency with async patterns and REST APIs for building reliable agent tool integrations.
  • Experience deploying and serving open-source LLMs using frameworks such as vLLM, llama.cpp, TensorRT-LLM, or similar inference engines
  • Familiarity with model optimization techniques (quantization, batching strategies, GPU memory management) for production workloads
  • Experience deploying containerized AI services using Docker and Kubernetes (or OpenShift/EKS) within cloud environments (AWS/Azure), including managing inference infrastructure and API gateways.
  • Exemplary written, verbal, listening, and interpersonal communication skills.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Ability to work both independently and collaboratively as part of a team.

Work Environment:

  • Remote: This role is a remote (work from home (WFH)) opportunity, and only open to candidates currently located in the United States and able to work without sponsorship.
  • It requires a suitable space that provides a private and quiet workplace.
  • Expected Work Hours: Schedules are set to accommodate the requirements of the position and the needs of the organization and may be adjusted as needed.
  • Travel: May be required to travel to off-site location(s) to attend meetings, as necessary 

Salary Range:  $105,000 - $160,000 and a comprehensive benefits package, please follow the link to our benefits page for details! EMPLOYERS Benefits and Perks

About EMPLOYERS

As a dynamic, fast-growing provider of workers' compensation insurance and services, we are seeking a goal-oriented individual willing to put their ideas to work! 

We offer a positive, challenging work environment, combined with an opportunity to build your career as you help us grow our business, in innovative and imaginative ways that are uniquely EMPLOYERS! 

Headquartered in Nevada, EMPLOYERS attributes its long-standing success to its most valuable resource, our employees across the United States.  EMPLOYERS is known for the quality service and expertise we provide to our clients, and the exemplary work environment we provide for our employees. 

We live and breathe our core values: Integrity, Customer Focus, Collaboration, Initiative, Accountability, Innovation, and Personal Fulfillment.  These are the pillars that support how we do business with our clients as well as how we treat each other! 

At EMPLOYERS, you’ll discover an energetic environment that inspires top achievement.  As “America’s small business insurance specialist”, we have the resources, a solid reputation and an expanding nationwide identity to enrich your work/life and enhance your career. #LI-Remote Click our link to learn more! About EMPLOYERS 

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