Sr. Agentic Engineer
About The Position
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.
Requirements
- Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
- Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
- Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.
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.
Benefits
- Competitive salary and benefits package.
- Leadership role in pioneering autonomous AI systems in the insurance industry.
- A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
- A collaborative and forward-thinking work environment at the intersection of AI and insurance.
- Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
