Agentic AI Engineer for Insurance Workflows

Mapfre

Boston (MA)

Hybrid

USD 121,000 - 191,000

Full time

15 hours ago
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Benefits offered by this job

PTO and holidays
401(k) & Profit Sharing
Medical, Dental, Vision coverage

Job summary

Mapfre is seeking an Agentic AI Engineer to design and deploy production-grade AI agents transforming underwriting and claims workflows. You’ll own end-to-end solutions, from prototypes to scalable systems, operating at the intersection of AI, software engineering, and insurance.

Ideal candidates have strong Python skills and hands-on experience with LLM-based, agentic systems in production, preferably in regulated industries.

Qualifications

  • Hands-on software engineering with Python and AI systems experience.
  • Experience building production-grade LLM-driven agents and workflows.
  • Familiarity with insurance or regulated industries is a plus.

Responsibilities

  • Design, build, and deploy AI agents and multi-step workflows for insurance processes.
  • Translate designs into reliable agents with considerations of feasibility and cost.
  • Develop backend services with API contracts and secure auth.
  • Define success metrics, build test data, and drive improvements.
  • Implement guardrails, observability, and governance aligned with regulations.
  • Prototype and scale solutions using cloud, containers, and CI/CD.

Skills

Python
LLM-based applications
Agentic systems
API design
CI/CD
Communication
Problem solving

Education

Bachelor's degree in Computer Science or related field
Master's degree in related field

Tools

LangGraph
FastAPI
AWS
MCP
Streamlit

Job description

Mapfre is seeking an Agentic AI Engineer to design and deploy production-grade AI agents transforming underwriting and claims workflows. You’ll own end-to-end solutions, from prototypes to scalable systems, operating at the intersection of AI, software engineering, and insurance.

Ideal candidates have strong Python skills and hands-on experience with LLM-based, agentic systems in production, preferably in regulated industries.

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