Agentic AI Engineer

Motion Recruitment

Webster (MA)

Hybrid

USD 150,000 - 190,000

Full time

6 days ago

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Benefits offered by this job

Flexible PTO

401(k) with company matching

Medical insurance

Dental insurance

Vision insurance

Short-Term Disability

Long-Term Disability

Life insurance

FSA

HSA

Wellness programs

Tuition reimbursement

Leadership development programs

Internal mobility and career growth

Job summary

MAPFRE is hiring an Agentic AI Engineer to design, build, and deploy production-grade AI agents and agentic workflows for their Webster, MA (hybrid) and greater Boston operations. You will work at the intersection of AI, software engineering, and insurance, leveraging Python, LangGraph, AWS, FastAPI, LLMs, and agentic frameworks to deliver scalable solutions.

The ideal candidate will own end-to-end solutions, prototype to production, and help set AI best practices across the organization while

Qualifications

Bachelor's or higher in CS/engineering or related field with 5+ years of software/ML/data experience (7+ years for Bachelors).
2+ years building LLM-based apps, including at least one production agentic system.
Strong Python development and software engineering fundamentals.

Responsibilities

Design, build, and deploy AI agents and multi-step agentic workflows.
Develop backend services and APIs using Python and FastAPI.
Build and evaluate LLM-powered applications and autonomous agent systems.
Deploy cloud-native AI solutions using AWS, containers, and CI/CD.
Implement monitoring, governance, and security controls for production AI systems.

Skills

Python

LLM-based apps

API development

Problem solving

Stakeholder communication

Education

Bachelor's degree in CS/Engineering or related field

Master's degree in related field

Tools

LangGraph

AWS

FastAPI

CI/CD pipelines

Job description

Job Description_____________Copy EVERYTHING Below This Line _________

Join MAPFRE as an Agentic AI Engineer (Insurance & Agentic Workflows) in Webster, MA or the Greater Boston area. This is a full-time hybrid opportunity focused on designing, building, and deploying production-grade AI agents and agentic workflows that transform complex insurance operations. You will work at the intersection of AI, software engineering, and insurance, leveraging technologies such as Python, LangGraph, AWS, FastAPI, LLMs, and agentic AI frameworks to deliver scalable, enterprise-ready solutions.

This is an opportunity to shape how agentic AI is engineered and adopted across a global insurance organization. The ideal candidate is a hands-on engineer who enjoys solving complex business problems, building production AI systems from the ground up, and collaborating closely with architects, product owners, and business stakeholders. You will own solutions end-to-end, from prototyping and validation through production deployment, while directly influencing AI best practices across the organization.

Required Skills & Experience

Bachelor's degree in Computer Science, Engineering, or a related quantitative field with 7+ years of software, machine learning, or data engineering experience, or a Master's degree with 5+ years of relevant experience
2+ years of hands-on experience building LLM-based applications, including at least one agentic system deployed to production
Strong Python development skills and software engineering fundamentals
Experience building APIs, integrating tools and services, automated testing, debugging, and version control
Experience with agent frameworks or SDKs, with LangGraph strongly preferred
Experience with major model APIs or managed AI platforms such as Amazon Bedrock
Experience building production AI agents that integrate with tools, APIs, and enterprise systems
Experience evaluating LLM applications and agents using test datasets, metrics, regression testing, and model-based evaluation
Understanding of AI agent reliability, governance, security risks, and operational controls
Strong problem-solving, communication, and stakeholder management skills
Proven ability to solve complex and ambiguous problems with minimal direction

Desired Skills & Experience

Insurance industry experience strongly preferred
Claims or underwriting domain expertise
Experience deploying AI applications on AWS using containers and CI/CD pipelines
Experience with retrieval-augmented generation (RAG), context engineering, and structured outputs
Experience integrating agents into enterprise systems through APIs and MCP
Experience mentoring team members and driving engineering best practices across teams

What You Will Be Doing

Tech Breakdown

Design, build, and deploy AI agents and multi-step agentic workflows
Develop backend services and APIs using Python and FastAPI
Build and evaluate LLM-powered applications and autonomous agent systems
Deploy cloud-native AI solutions using AWS, containers, and CI/CD
Implement monitoring, observability, governance, and security controls for production AI systems

Daily Responsibilities

Translate business requirements and solution designs into production-ready AI agents
Build reusable agentic workflows and engineering patterns for underwriting and claims use cases
Integrate AI agents with enterprise applications, APIs, data sources, and MCP servers
Develop testing frameworks, evaluation datasets, and quality monitoring processes
Implement guardrails, auditing, human-in-the-loop workflows, and compliance controls
Prototype, validate, deploy, and scale AI solutions with business and technical stakeholders
Measure technical performance and business value while communicating outcomes to technical and non-technical audiences

The Offer

You will receive the following benefits: