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HUB

Global insurance brokerage with risk management

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • At least 5 years of software or automation engineering experience, including at least 2 years building and shipping large language model-backed applications to production.
  • Direct, recent, hands-on experience building and publishing Claude skills or plug-ins; broad large language model or framework experience without shipped skills and plug-ins is insufficient.
  • Strong Python, REST API, and enterprise integration skills, with sound fundamentals in testing, version control, and monitoring.
  • Hands-on experience with foundational models, including system and prompt design, skill and tool building, and function and tool calling.
  • Experience with retrieval-augmented generation, embeddings, and vector stores, including chunking and reranking.
  • Experience evaluating and monitoring large language model systems, including cost, latency, and reliability tradeoffs.
  • Experience operating within a regulated enterprise, incorporating security, governance, and access control into normal delivery.
  • Cloud experience with Azure or Google Cloud Platform / Vertex AI.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
  • Genuine software engineering depth rather than prompt-only development.
  • Systems thinking and ability to design for consistency, resilience, and enterprise scale.
  • Clear technical communication with engineers and non-technical business stakeholders.
  • Accountability and ownership for quality, stability, and delivery.
  • Curiosity and adaptability as the artificial intelligence stack evolves toward agents.
  • Collaborative approach across analysts, architects, business partners, and Enterprise Engineering.

Responsibilities

  • Build reusable skills and package them as plug-ins, then compose them into governed AI applications used by HUB business lines.
  • Configure and tune foundational models, including Claude and Gemini, for HUB use cases through system and prompt design.
  • Build retrieval-augmented generation, embeddings, and multi-step workflows over governed enterprise data.
  • Productionize business-built artificial intelligence prototypes into reliable, governed applications.
  • Own and govern the skill and plug-in marketplace and Model Context Protocol catalog, including intake, publishing, versioning, and maintenance.
  • Set and enforce enterprise standards and governance for skills, plug-ins, and Model Context Protocol wherever they are used across HUB, on any surface including Claude Code, and including builds executed by other engineering teams.
  • Apply access control, least privilege, and auditing to artificial intelligence assets, partnering with Security and Cloud on identity and credentials.
  • Build simple-to-moderate skills, plug-ins, and Model Context Protocol connections directly; route complex builds requiring new infrastructure or deep integration to Enterprise Engineering, then govern and publish the result.
  • Stand up evaluation harnesses, golden-set testing, guardrails, monitoring, and logging so artificial intelligence output is consistent and reliable at enterprise scale.
  • Provide production support for the skills, plug-ins, and applications the team releases.
  • Partner with business stakeholders to turn rough, prototyped ideas into production-ready, governed capabilities.
  • Partner with Enterprise Engineering and data teams to ship reliably and route deep builds appropriately.
  • Work within Agile ceremonies and document skills, applications, and technical decisions for handoff, audit, and maintenance.

Desired Qualifications

  • Agent development and orchestration experience with LangGraph, CrewAI, or Claude Agent SDK.
  • Model Context Protocol design and agent-to-agent patterns.
  • Knowledge of identity and access concepts, including role-based access control, non-human or agent identity, and least privilege.
  • UiPath or Power Platform exposure.
  • Insurance or financial services industry experience.
  • Familiarity with Git, continuous integration and continuous delivery pipelines, modern software engineering practices, and tools such as Jira or Azure DevOps.

About the Company

HUB

Global insurance brokerage with risk management

HUB International is a global insurance broker offering property and casualty, life and health, employee benefits, investment, and risk management services. It works through a decentralized network of local North American offices and grows by acquiring smaller brokerages to expand reach, delivering tailored insurance and advisory solutions. Its size and distributed structure combine local market knowledge with global resources to serve individuals, families, and businesses across industries like construction and healthcare. The goal is to help clients manage risk, protect assets, and achieve financial stability through comprehensive, integrated insurance and risk management services.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1998

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