Production-Ready Agentic AI Engineer

Kelly Services; Webster (MA); Híbrido; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible PTO

401(k) with company matching

Medical insurance

Dental insurance

Vision insurance

Life insurance

Learning and development programs

Descripción de la vacante

MAPFRE is seeking an Agentic AI Engineer to design, build, and deploy production-ready AI agents and multi-step workflows in Webster, MA. You will work hybrid, leveraging Python, LangGraph, AWS, and FastAPI to transform insurance operations.

The role demands hands-on development, production deployment, and collaboration with architects, product owners, and business stakeholders to define AI best practices across the organization.

Formación

• 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.

Responsabilidades

• 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.
• 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.

Conocimientos

Python

LLM apps

LangGraph

AWS

FastAPI

Agent frameworks

Bedrock

APIs

Production AI

Testing & QA

Educación

Bachelor's in CS/Engineering

Master's degree

Herramientas

Python

LangGraph

Descripción del empleo

MAPFRE is seeking an Agentic AI Engineer to design, build, and deploy production-ready AI agents and multi-step workflows in Webster, MA. You will work hybrid, leveraging Python, LangGraph, AWS, and FastAPI to transform insurance operations.

The role demands hands-on development, production deployment, and collaboration with architects, product owners, and business stakeholders to define AI best practices across the organization.