Principal Agentic Engineer

About MGT Insurance

MGT is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for the brokers and small business owners. By combining the expertise of industry veterans with state-of-the-art technology, we are ushering in the next evolution of commercial insurance and working to move the industry forward through the use of modern technology, better processes, and a rock-star team. We seek visionary leaders who thrive in dynamic, entrepreneurial settings, and excel in autonomous roles.

About Us

MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking a Principal Agentic Engineer with deep expertise in AI agents, LLMs , and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview

As a Principal Agentic Engineer , you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture : Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems : Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring : Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance : Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance : Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

Preferred Location

Candidates based in Madison, Wisconsin , Denver, Colorado , or San Francisco, California are preferred to facilitate close collaboration with our team.

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