Ai Engineer Jobs

About The Position

Requirements

• At least 5 years of software or automation engineering experience, including at least 2 years building and shipping LLM-backed applications to production.
• Direct, recent, hands-on experience building and publishing Claude skills or plug-ins; broad LLM or framework experience without shipped skills and plug-ins is not sufficient.
• 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 LLM systems, with an understanding of cost, latency, and reliability tradeoffs.
• Experience working in a regulated enterprise where security, governance, and access control are part of normal delivery.
• 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.
• Genuine software engineering depth rather than prompt-only development.
• Systems thinking and the 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 AI stack evolves toward agents.
• Collaborative approach across analysts, architects, business partners, and Enterprise Engineering.

Nice To Haves

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

Responsibilities

• Build reusable skills and package them as plug-ins, then compose them into governed AI applications for HUB business lines.
• Configure and tune foundational models, including Claude and Gemini, for HUB use cases using system and prompt design.
• Build retrieval-augmented generation, embeddings, and multi-step workflows over governed enterprise data.
• Productionize business-built AI prototypes into reliable, governed applications.
• Own and govern the skill and plug-in marketplace and MCP catalog, including intake, publication, versioning, and maintenance.
• Set and enforce enterprise standards and governance for skills, plug-ins, and MCP across HUB and on any surface, including Claude Code.
• Apply access control, least privilege, and audit practices for AI assets in partnership with Security and Cloud on identity and credentials.
• Build simple-to-moderate skills, plug-ins, and MCP connections directly; route complex builds requiring new infrastructure or deep integration to Enterprise Engineering, then govern and publish the results.
• Establish evaluation harnesses, golden-set testing, guardrails, monitoring, and logging to support consistent, reliable AI output at enterprise scale.
• Provide production support for skills, plug-ins, and applications released by the team.
• Partner with business stakeholders to turn rough, prototyped ideas into production-ready, governed capabilities.
• Partner with Enterprise Engineering and data teams to deliver reliably and route deep builds appropriately.
• Participate in Agile ceremonies and document skills, applications, and technical decisions for handoff, audit, and maintenance.

Benefits

• Competitive base salary plus performance-based bonus.
• Comprehensive medical, dental, and vision coverage.
• 401(k) with company match.
• Paid time off and company holidays.
• Professional development and certification reimbursement.
• Opportunity to shape HUB’s enterprise AI application and asset platform and build across a modern stack spanning Claude, RAG, and agentic tooling.
• Health, dental, vision, life, and disability insurance; FSA and HSA accounts; and 401(k) accounts.
• Paid time off that may include vacation, sick, personal, floating holidays, and company holidays.
• Eligible annual bonuses, equity, and commissions may be available for some positions.
• Structured training, licensing support, and ongoing development opportunities.
• Retirement savings matching and company-paid life and disability plans.
• Paid parental leave and a wellbeing program.
• Community impact opportunities through HUB Gives.