Agentic AI Engineer

Dorman Products; Colmar (PA); Hybrid; USD 102,000 - 154,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid time off

401k retirement plan with company match

Job summary

Dorman Products is seeking an Agentic AI Engineer to develop and scale enterprise-grade AI systems in Colmar, PA. This hybrid position requires strong proficiency in Python and experience with agent orchestration frameworks like LangGraph. Responsibilities include designing workflows, integrating with Microsoft AI tools, and collaborating with various teams to ensure system reliability and governance. Benefits include competitive salary and comprehensive insurance options.

Qualifications

• 3+ years of experience in software development or automation engineering.
• Hands-on experience with LangGraph or similar agent orchestration frameworks.
• Experience working with large language models.

Responsibilities

• Design, implement, and maintain AI systems using Python.
• Build stateful, goal-driven agent workflows.
• Develop AI-driven workflows using Power Automate.

Skills

Python

AI systems

Agent orchestration

APIs

JSON

Education

Bachelor’s degree in Computer Science or related field

Tools

LangGraph

Power Automate

Azure AI Foundry

Job description

Dorman was founded on the belief that people should have greater freedom to fix motor vehicles. For over 100 years, we have been driving new solutions, releasing tens of thousands of aftermarket replacement products engineered to save time and money, and increase convenience and reliability. Founded and headquartered in the United States, we are a pioneering global organization offering an always-evolving catalog of automotive, heavy-duty and specialty vehicle products. Today, we have more than 3,500 employees across 29 different locations, with a family of brands that also includes SuperATV and Dayton Parts. Reaching a revenue of $2 billion in 2024, Dorman is pblicly traded under the stock ticker DORM.

Everyone who works at Dorman is called a Contributor. We need everyone, regardless of role and experience, to contribute to our success. That means everyone has a unique ability to make an impact on the business. We encourage all our Contributors to bring their authentic selves to work. The freedom to pursue new ideas, offer different perspectives, and grow in your career is fundamental to working at Dorman.

Job Summary

We are seeking an Agentic AI Engineer to design, build, and scale enterprisegrade, multiagent AI systems that can reason, plan, and act across complex business and engineering workflows. This role focuses on engineering stateful, orchestrated agent architectures — including planner, executor, and supervisory patterns — using Python-based agent frameworks. The engineer will build systems where multiple agents coordinate through shared state, tools, and memory to accomplish multistep objectives reliably and securely. The position extends beyond traditional automation by combining agent orchestration, large language models, and Microsoft’s AI and automation ecosystem. Solutions are expected to integrate with enterprise platforms, apply human‑in‑the‑loop controls, and operate within defined governance and reliability guardrails. The ideal candidate has advanced beyond foundational automation or scripting roles and is ready to own end‑to‑end agentic workflows, contributing to reusable AI platforms that move from experimentation into governed, production use.

This is a hybrid role in our corporate headquarters in suburban Philadelphia (Colmar, PA) with the expectation to be onsite two to three days per week.

Primary Duties

Agentic AI Engineering

• Design, implement, and maintain single and multiagent AI systems using Python and agent orchestration frameworks such as LangGraph.
• Engineer planner, executor, and supervisory agent patterns that coordinate through shared state, memory, and tool invocation to accomplish complex, multistep objectives.
• Build stateful, goal‑driven agent workflows that reason across steps, adapt to intermediate outcomes, and recover from errors.
• Implement appropriate human‑in‑the‑loop controls, guardrails, and auditability to ensure reliable, secure, and governed agent behavior.

Microsoft AI & Automation Platform Integration

• Develop AI‑driven workflows using Power Automate and Copilot Studio, embedding agentic capabilities into enterprise business processes.
• Leverage Azure AI Foundry and related Azure services to deploy, manage, and govern AI solutions in alignment with enterprise standards.
• Integrate AI agents with Microsoft 365, Dataverse, APIs, and other enterprise systems to enable end‑to‑end automation and decision support.

Large Language Model (LLM) Enablement

• Build and test agent workflows using OpenAI Codex, Anthropic Claude (Claude Code) and other large language models.
• Apply prompt engineering, tool calling, and structured output techniques appropriate for enterprise and production use cases.

Architecture & Engineering Alignment

• Contribute to internal AI platforms informed by ideation and engineering initiatives, including multiagent orchestration, agent‑assisted discovery, and complex coordination workflows.
• Collaborate with architecture, security, and data teams to ensure agentic solutions align with enterprise design, governance, and integration patterns.
• Document agent designs, orchestration patterns, and operational considerations to support reuse, scalability, and long‑term maintainability.

Qualifications

• 3+ years of professional experience in software development, automation engineering, or AI‑adjacent roles.
• Strong proficiency in Python for production‑grade development.
• Hands‑on experience with LangGraph or similar agent orchestration frameworks.
• Working knowledge of Microsoft’s AI and automation ecosystem, including Azure AI Foundry, Power Automate, and Copilot Studio.
• Experience working with large language models, including Anthropic Claude / Claude Code.
• Solid understanding of APIs, JSON, and system integration.

Preferred Qualifications

• Experience designing stateful or multi‑agent systems.
• Familiarity with enterprise AI governance, security, and compliance.
• Experience evolving automation solutions into intelligent, AI‑driven systems.

Education / Experience

• Bachelor’s degree or equivalent experience in Computer Science, Information Systems, Engineering, or a related discipline. Equivalent professional experience may be considered in lieu of formal education.

The US base salary range for this full‑time position is $102,900.00 to $153,100.00. This role is also eligible for a bonus. The actual base pay offered to the successful candidate will depend on multiple factors, including but not limited to job‑related knowledge and skills, experience, business needs, geographical location, and internal pay equity. Compensation decisions are made based on the specific facts and circumstances of each role and candidate.

As a Dorman US contributor, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid time off (sick/vacation), and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and paid time off starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit‑sharing) and Discounted Employee Stock Purchase Plan.

Dorman Products is an equal opportunity employer; we value a combination of ideas, perspectives, and cultures at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, or disability status. EEO/AA Employer M/F/D/V. www.DormanProducts.com