AI Engineer, Applications

As an AI Engineer in Applications, you build AI\-powered workflows that perform real work for customers and improve how systems are built. You help turn intent into systems that automate real operational tasks. **Responsibilities** Your work includes: * building AI\-powered workflows * integrating AI capabilities into customer systems * developing internal tools used by Pit teams * creating reusable AI capabilities that speed up development * designing systems that allow non\-technical users to iterate on AI behavior You constantly look for ways to make AI\-powered systems easier and faster to build. **What Success Looks Like** * AI workflows reliably perform useful work * new AI applications can be implemented quickly * reusable tools reduce engineering effort **Qualifications** **Required** * 2\+ years experience designing and shipping LLM\-powered features or workflows in production, using language models (context engineering, tool use, structured output, evaluation) * Experience working with coding agents (Claude Code, Codex, Cursor) as part of your development workflow * Demonstrated ability to build reliable, observable systems, not just prototypes * Clear, direct communication style. You write well and explain technical decisions to non\-technical stakeholders **Preferred** * Experience building agentic systems, multi\-step AI workflows, or human\-in\-the\-loop automation * 3\+ years of professional software engineering experience, with meaningful time spent building production systems in TypeScript/Node.js * Background in enterprise or B2B environments where reliability, security, and auditability matter * Track record of building reusable internal tools or developer platforms that other engineers depend on **Not a Fit If** * Your AI experience is limited to calling an API and rendering the response. We need people who understand evaluation, failure modes, and iteration loops * You are primarily a data scientist or ML researcher looking for a model training role * You prefer well\-defined tickets over ambiguity. This is an early\-stage company where you'll shape the problem as much as the solution **About Pit** **Where intent becomes reliable systems** Our vision is a world where the friction between an idea and a production\-ready system is zero. Our mission is to help companies run their operations on custom software they can trust. **Our Principles** **1\. Start With the Customer** Everything we build serves someone. We stay close to real users and workflows to understand their constraints and outcomes, testing against reality rather than our own taste. Technical elegance is nice, but without user value it is redundant work. We do not build features to feel productive. We build them because they create clear, durable value for the people using what we make. *The customer is not a stakeholder to satisfy. They are the reason we exist.* **2\. Think Like an Owner** We take extreme ownership of our work and our mistakes. When pressure hits, we don’t point fingers or hide. We flag problems early, make a plan, and focus on the solution. We believe accountability is the fastest way to learn and improve. Speak up. If something is broken, unclear, or heading in the wrong direction, say it directly, early, and to the right person. We hold strong opinions but remain willing to change our minds when presented with better arguments. Silence is not neutrality; it is a choice that lets problems compound. We do not punish people for raising hard things. We expect it. **3\. Set the Standard** Quality compounds, but so does mediocrity. We hold exceptionally high standards in our product, code, design, and hiring. We do what’s right, even when nobody’s watching. We will take shortcuts, but conscious ones. We document them so they don’t become debt nobody owns. *The bar is not what we produce today. It is what we commit to produce every time.* **4\. Build Lego Blocks, Not Artworks** We do not build in silos. We maintain a big\-picture view of the product, the architecture, and the company to ensure our decisions are scalable and durable. We choose the right level of complexity to solve root causes, not surface symptoms. “Good enough and fast” is a legitimate choice, but only when it makes the next thing easier to build, not harder. That is the standard. Everything we ship should compound. Every decision we document should make the company smarter. Our job is not just to solve today’s problem well. It is to leave the platform, the culture, and the codebase better than we found them. **5\. Win Together** No one carries the weight alone. When the load is heavy, we rally beyond role boundaries because we care about each other’s performance and well\-being. High talent density only works if we operate as one unit. Act with good intent. Assume your colleagues are trying their best. Give feedback to help, not to score points. Challenge decisions openly before they are final, then commit fully once they are. We do not play politics. We do not undermine quietly. We trust each other enough to be honest, and we expect the same in return. **6\. Empower People with Technology** Technology is powerful and comes with real societal changes. We don't pretend otherwise and we take that seriously. Every solution we ship should make organizations and the people in them more capable, not just more efficient. We think about where the human goes, not just where the workflow goes. Technology done right lifts the ceiling on what people can focus on.