AI Engineer (Hybrid)

Join MAPFRE as an Agentic AI Engineer and help build production-grade AI agents that transform complex insurance workflows at scale. This is a full-time hybrid opportunity based in Boston or Webster, Massachusetts, focused on developing agentic AI solutions, LLM-powered applications, and enterprise AI services using Python, LangGraph, AWS, and modern cloud technologies. This is an opportunity to work at the intersection of artificial intelligence, software engineering, and insurance while owning solutions from prototype through production.

You'll collaborate directly with AI architects, business stakeholders, and domain experts to deliver measurable business impact, establish engineering patterns for agentic AI, and help shape the future of AI adoption across a global insurance organization.

Required Skills & Experience
Bachelor's degree in Computer Science, Engineering, or related quantitative field with 7+ years of software engineering, machine learning, or data engineering experience, or Master's degree with 5+ years of relevant experience
2+ years of hands-on experience building LLM-based applications, including at least one production-deployed agentic system used by real users
Strong Python development experience and software engineering fundamentals
Experience building APIs, integrating tools and services, automated testing, version control, debugging, and error handling
Hands-on experience with agent frameworks or SDKs, with LangGraph strongly preferred
Experience using major model APIs or managed AI platforms such as Amazon Bedrock
Experience building production AI agents that integrate with enterprise systems, APIs, and tools
Experience evaluating LLM applications and agents using test datasets, metrics, regression testing, and model-based evaluators
Understanding of AI agent reliability, security risks, governance requirements, and responsible AI practices
Strong communication skills and the ability to explain AI behaviors and limitations to technical and non-technical stakeholders
Proven ability to solve complex, ambiguous problems independently and deliver results

Desired Skills & Experience
Insurance industry experience preferred
Claims or underwriting expertise strongly preferred
Experience deploying AI applications to AWS cloud environments
Experience with containerization and CI/CD pipelines
Experience with retrieval-augmented generation (RAG), context engineering, and structured outputs
Experience integrating agents with enterprise systems through APIs and MCP servers
Experience mentoring team members and establishing engineering best practices across teams
What You Will Be Doing
Tech Breakdown
Designing, building, and deploying AI agents and multi-step agentic workflows
Developing Python-based backend services, APIs, and enterprise integrations
Implementing cloud-native AI solutions using AWS, containers, and CI/CD practices
Building evaluation frameworks, observability, monitoring, and governance controls
Integrating AI agents with enterprise systems, data sources, APIs, and MCP services
Daily Responsibilities
Design and deliver agentic AI solutions that improve underwriting, claims, and other insurance workflows
Translate solution designs into production-ready AI services and applications
Build secure, resilient backend services with testing, monitoring, and audit capabilities
Create evaluation datasets, automate testing, and continuously improve agent performance
Implement guardrails, human-in-the-loop workflows, and governance controls
Collaborate with architects, product owners, business stakeholders, and technical teams to prototype, deploy, and scale AI solutions
Measure technical performance and business value while communicating outcomes and limitations to stakeholder