AI Engineer
HUB International3 days ago
Base Salary
$135k - $160k/yr
Responsibilities
- Build reusable AI skills, package them as plug-ins, and compose them into governed production applications.
- Configure and tune Claude and Gemini using system design, prompt design, function calling, and tool building.
- Build retrieval-augmented generation, embeddings, vector-store, chunking, reranking, and multi-step workflow capabilities over governed enterprise data.
- Productionize business-built AI prototypes into reliable, tested, governed applications.
- Own and govern the AI skill and plug-in marketplace and MCP catalog, including intake, publishing, versioning, maintenance, standards, and governance.
- Apply access control, least privilege, audit, identity, and credential practices to AI assets in partnership with Security and Cloud.
- Build simple-to-moderate skills, plug-ins, and MCP connections and route complex infrastructure or integration work to Enterprise Engineering.
- Create evaluation harnesses, golden-set testing, guardrails, monitoring, and logging for consistent and reliable AI output.
- Provide production support for released skills, plug-ins, and applications.
- Partner with business stakeholders, Enterprise Engineering, and data teams to deliver production-ready capabilities and document technical decisions.
Requirements
- 5+ years of software or automation engineering experience, including 2+ years building and shipping LLM-backed applications to production.
- Direct, recent, hands-on experience building and publishing Claude skills or plug-ins.
- Strong Python, REST API, enterprise integration, testing, version control, and monitoring fundamentals.
- Hands-on experience with foundational models, system and prompt design, skill and tool building, and function or tool calling.
- Experience with RAG, embeddings, vector stores, chunking, and reranking.
- Experience evaluating and monitoring LLM systems, including cost, latency, and reliability tradeoffs.
- Experience working in a regulated enterprise with security, governance, and access control practices.
- Cloud experience with Azure or GCP / Vertex AI.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
- Preferred experience with agent development and orchestration using LangGraph, CrewAI, or Claude Agent SDK.
- Preferred experience with MCP design, agent-to-agent patterns, RBAC, non-human or agent identity, and least privilege.
- UiPath or Power Platform exposure and insurance or financial services experience are preferred.
- Familiarity with Git, CI/CD pipelines, Jira, Azure DevOps, and modern software engineering practices is preferred.
Benefits
- Competitive base salary plus performance-based bonus and comprehensive total compensation opportunities.
- Medical, dental, vision, life, disability, FSA, HSA, and 401(k) benefits, including company matching where eligible.
- Paid time off, paid parental leave, company holidays, and a wellbeing program.
- Hybrid work arrangement based out of the Chicago office.
- Professional development, structured training, licensing support, certification reimbursement, and ongoing development opportunities.
- Opportunity to shape HUB’s enterprise AI application and asset platform across Claude, RAG, and agentic tooling.
Tech Stack
Categories
About HUB International
HUB International is a global insurance brokerage that sells commercial and personal insurance, risk management, employee benefits, retirement, and wealth advisory services to businesses and individuals. It operates through offices across North America and generates revenue primarily from brokerage commissions and fees. Headquartered in Chicago, it is privately held and backed by private equity firm Hellman & Friedman, with origins dating to the late 1990s through the merger of regional brokerages.