Designs, develops, and maintains computer software.
Provides technical leadership on small, moderately complex, low risk enhancement projects or support teams, with little supervision.
Delivers moderately complex code/configuration changes as part of a larger implementation under a moderate level of supervision in a primarily full-stack development environment including front-end, policy, integration, and cloud.
What You'll Do:
This opportunity is for an Agentic Engineer in ERIE's AI Center of Excellence. The focus of this position is hands-on development of ERIE's Agentic Lifecycle capability, including the design, build, testing, integration, documentation, and support of agentic software solutions that help delivery teams use AI-powered teammates safely and effectively. This role will work with senior engineers, architects, platform teams, Information Security, governance partners, and delivery teams to implement agent workflows, skills, prompts, APIs, automation, test assets, documentation, runbooks, and evidence artifacts. The Agentic Engineer will help turn emerging agentic architecture patterns into practical, reusable delivery capabilities that improve speed, quality, consistency, and traceability across the software delivery lifecycle.
Preferred Experience & Skills:
Software engineering experience in one or more areas such as full-stack, back-end, integration, cloud, automation, DevOps, platform engineering, scripting, or data-oriented engineering
Experience developing, testing, debugging, documenting, and maintaining software or configuration in an enterprise technology environment
Experience with APIs, Git-based workflows, CI/CD, automated testing, cloud services, scripting, workflow automation, integration patterns, or reusable engineering assets
Ability to work from technical designs and patterns, incorporate feedback, and produce clean, maintainable, well-documented deliverables
Strong collaboration skills and ability to work across architecture, security, governance, platform, and application delivery teams
Experience in AI-assisted engineering, GenAI, LLMs, prompt engineering, tool/function calling, agentic workflows, reusable automation, and responsible use of AI in software delivery
What Makes You Stand Out:
Exposure to agentic workflows, prompt/skill design, MCP or API-based tool integration, AI-assisted software delivery, or workflow orchestration
Experience building reusable automation, internal tools, developer productivity solutions, test harnesses, or platform capabilities
Curiosity and comfort working in an emerging technology space where standards, patterns, and operating practices are still being shaped
Interest in secure engineering, auditability, evidence generation, traceability, human-in-the-loop review, and responsible AI delivery practices