Agentic AI Engineer

MAPFRE; Webster (MA); Hybrid; USD 121,000 - 191,000; Full time

Benefits offered by this job

Paid Time Off (PTO)

401(k) & Profit Sharing

Medical, Dental and Vision Coverage

STD, LTD, Life Insurance, FSA, HSA

Job summary

MAPFRE is hiring an Agentic AI Engineer in Webster, MA to design, build, and deploy production-grade AI agents that improve underwriting and claims workflows, with end-to-end ownership from architecture to guardrails and scaling.

You’ll work across FastAPI, Streamlit, LangGraph, and AWS Bedrock to deliver reusable agent patterns, assess trade-offs, and ensure reliability through tests, observability, and CI/CD.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related quantitative field (or Master’s).
• 7+ years of software, ML, or data engineering experience or 5+ years with Master’s.
• 2+ years building LLM-based applications and at least one agentic system deployed to production.
• Strong Python skills and API integration fundamentals.
• Hands-on experience with an agent framework or SDK (LangGraph strongly preferred).
• Experience with production AI deployments in cloud environments.

Responsibilities

• Design, build, and deploy AI agents and multi-step workflows for underwriting and claims.
• Advise on feasibility, cost, and reliability trade-offs when translating designs to agents.
• Implement agents as backend services with stable APIs, authentication, and testing.
• Integrate agents with enterprise data sources, APIs, and MCP servers.
• Own agent quality through tests, datasets, evaluations, and improvements.
• Implement guardrails including human-in-the-loop checks, observability, and cost controls.
• Prototype and validate solutions with MVP interfaces (e.g., Streamlit) and scale via cloud and CI/CD.

Skills

Python programming

LLM applications

Agent frameworks

APIs and integration

Software testing

Communication skills

Autonomy

Education

Bachelor’s or Master degree in CS/Engineering

Tools

FastAPI

Streamlit

LangGraph

Amazon Bedrock

MCP

CI/CD

AWS

Job description

MAPFRE is hiring an Agentic AI Engineer to design, build, and ship production-grade AI agents that help improve high-impact insurance workflows, including underwriting and claims. This hybrid role in Webster, MA brings a hands-on engineering focus with end-to-end ownership, from agent architecture and backend services to evaluation, guardrails, and scaled deployment.

What you’ll be building

You will create AI agents and multi-step agentic workflows that turn complex insurance processes into reusable engineering components and patterns. You’ll translate solution and business designs defined with the AI architect and product owner into working agents, balancing trade-offs across deterministic rules, traditional ML, plain GenAI, and autonomous agent approaches.

Responsibilities

• Design, build, and deploy AI agents and multi-step agentic workflows for underwriting and claims, creating reusable components and engineering patterns to accelerate future solutions
• Advise on technical feasibility, cost, and reliability trade-offs when converting business and solution designs into agent implementations
• Implement agents as backend services (for example, FastAPI) with stable API contracts, secure authentication, resilient error handling, and automated testing
• Integrate agents with enterprise systems, data sources, and APIs using tools and MCP servers
• Own agent quality through success criteria, test datasets, automated evaluations, failure diagnosis, and targeted improvements
• Implement guardrails including human-in-the-loop checkpoints, action limits, observability, monitoring, performance and reliability controls, cost management, and audit logging aligned with AI governance and regulatory requirements
• Prototype and validate solutions in collaboration with business and technical teams, including lightweight MVP interfaces (for example, Streamlit), then deploy and scale using cloud, containerization, and CI/CD
• Measure technical performance and business value, and communicate results and limitations to technical and non-technical stakeholders

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field (or Master’s degree), with either 7+ years of software, machine learning, or data engineering experience or a Master’s with 5+ years of relevant experience
• 2+ years of hands-on experience building LLM-based applications, including at least one agentic system (tool calling, multi-step workflows, etc.) deployed to production and used by real users
• Strong Python skills and solid software engineering fundamentals, including API and tool integration, automated testing, error handling, version control, and debugging of non-deterministic systems
• Hands-on experience with at least one agent framework or SDK ( LangGraph strongly preferred) and major model APIs or managed AI platforms such as Amazon Bedrock, building production AI agents that integrate with tools, APIs, and enterprise systems
• Experience evaluating LLM applications or agents, including test datasets, metrics, regression testing, and appropriate use of model-based evaluators
• Understanding of agent reliability and security risks, with pragmatic judgment, strong problem-solving skills, and clear communication with technical and business stakeholders
• Ability to solve ambiguous, complex problems with minimal direction and high autonomy, with a results-driven mindset and persistence to find root causes
• Strong communication skills to explain agent behavior and limitations to non-technical stakeholders

Technologies

• Python, FastAPI, Streamlit, LangGraph, Amazon Bedrock, MCP

Benefits

• Paid Time Off (PTO) - flexible PTO program
• 401(k) & Profit Sharing (company matching contributions up to certain amounts)
• Medical, Dental and Vision Coverage
• STD, LTD, Life Insurance, FSA, HSA and various wellness programs

Desired skills

• Insurance domain knowledge is highly preferred, with claims or underwriting experience a strong plus
• Experience deploying production AI applications to the cloud, with AWS preferred, using containers and CI/CD
• Experience with retrieval-augmented generation (RAG), context engineering, and structured outputs, and integrating agents into enterprise systems via APIs and MCP
• Experience mentoring team members and influencing best practices across teams

Why MAPFRE

• Purpose & Culture: Join a company built on trust, collaboration, and inclusion.
• Career Growth: tuition reimbursement, leadership programs, and internal mobility opportunities.
• Social Responsibility: contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

Pay transparency

The typical starting salary range for this role is $121,000 - $191,000. Some roles at MAPFRE may also be eligible for commission and/or bonus earnings in addition to salary. The range is determined by factors including skills, experience, education, certifications, and location.