About the Role
About DoberDober is a specialty chemical and software company headquartered in the western Chicago suburbs. Across our divisions - commercial laundry SaaS, manufacturing, and agriculture - we're building AI into the core of how we operate, not bolting it on the side. This is a company where a strong idea can go from whiteboard to production fast, and where the person building it gets to see the impact.
The RoleWe're looking for a builder. Someone early in their career but already fluent in modern AI tooling, who can walk into a business unit, understand how work actually flows, and build agents that take real work off people's plates. You'll sit at the intersection of operations and engineering: mapping processes one day, shipping a working agent the next.This is not a research role. We measure success in problems solved and hours saved.
What You'll Do
• Embed with teams across our divisions to learn how work really gets done — the steps, the decisions, the handoffs, the friction.
• Design and build AI agents using LLM APIs, tool/function calling, orchestration frameworks, and retrieval systems.
• Turn manual, repetitive, or judgment-heavy workflows into reliable automated systems.
• Build with governance in mind: provenance, error handling, and human-in-the-loop where it matters.
• Prototype fast, ship, measure, and iterate.
• Help shape how AI gets deployed across the enterprise as we scale.
What We're Looking For
• Demonstrated ability to build with modern AI: LLM APIs (Anthropic, OpenAI, etc.), function/tool calling, and at least one agent orchestration approach (LangGraph, CrewAI, MCP, or similar).
• A knack for understanding business processes — you can watch someone work and break down what they do into buildable steps.
• Real projects we can look at: GitHub, deployed apps, hackathon builds, side projects. What you've shipped matters more than where you studied.
• Comfort with Python and working with APIs and data.
• Bias to action. You'd rather have a working prototype by Friday than a perfect plan next month.
• Clear communicator who can work directly with non-technical people.
Nice to Have
• Experience with RAG, vector databases, or knowledge graphs.
• Familiarity with MCP (Model Context Protocol).
• Any exposure to manufacturing, chemical, SaaS, or agricultural operations.
Why Dober
• Direct line to leadership and real ownership of what you build.
• A company genuinely committed to being AI-native, with executive sponsorship behind it.
• The chance to build foundational systems, not maintain someone else's legacy code.
• Competitive compensation, bonus, and benefits.
Compensation: $95,000–$120,000 base depending on experience, plus annual discretionary bonus.We offer a comprehensive benefits package that includes medical, dental, and vision coverage, short-term and long-term disability insurance, life insurance, paid time off (PTO), paid parental leave, volunteer time off, and a Calm app membership. Our expanding wellness program supports your overall health and work-life balance.
