Automation & Process Improvement Engineer

MissionWe're looking for someone who can sit with our operations teams and make their day-to-day work easier. You'll start with Managed Services, learn how they actually get things done, and then build the automations and integrations that take the repetitive, manual work off their plate. A lot of the job is scripting, connecting systems, and cleaning up messy processes, with AI tooling and concepts being a big part of it. We are looking for someone who has actually built with AI, both using it as a tool to work faster and building it into the solutions themselves, like putting LLM-powered steps or small agents right inside a workflow.We think the right person is smart, driven, and technically strong, with real experience automating and improving processes inside a large operation. You know automation, process improvement, and systems integration well, and you've got real hands-on experience with AI, both using it day to day and building it into working solutions. You care about results you can actually point to, like hours saved, fewer errors, and more work getting done without adding headcount.Position OverviewThis is a hands-on role for someone who likes digging into operational problems. Here's what the work looks like:Embedded work: You'll be part of an operations team, starting with Managed Services. You'll learn their workflows and go after the highest-volume, most painful tasks first.Automation and integration: You'll write the scripts, jobs, and integrations that connect systems, move data around, and cut out manual steps.Process improvement: Before automating anything, you'll look for ways to simplify it. Sometimes the best fix is removing a step, not speeding it up.Building with AI: You'll build AI into the work itself, like an LLM that reads unstructured text or an agent that handles a multi-step task, and you'll use AI tools to build it all faster.Results: You'll measure where things stand today and track what changes, like time saved and errors avoided.Key ResponsibilitiesProcess Improvement and AutomationSpend time with an operations team to understand how the work really happens and where automation would make the biggest difference.Look for ways to simplify a process before automating it. Cut the steps that don't need to be there, then automate the rest.Build the scripts, scheduled jobs, API connections, and data pipelines that take manual work off people's plates.Connect the systems and data sources people rely on (internal tools, APIs, SQL databases, and other platforms) so information moves without someone copying it by hand.Measure each process before and after so you know what actually improved, then keep refining it.Keep what you build running. Monitor it, fix it when it breaks, and make sure people can count on it.Show team members how to use the new tools and workflows, and write things down so other teams can pick them up later.Building with AI and Engineering PracticesDesign and build AI into the solutions you ship, like an LLM that reads and classifies unstructured text, or an agent that carries out a multi-step task on its own.Use AI coding assistants such as Cursor, Claude, or Copilot to build faster, while keeping the quality of the code high.Know the limits. Be honest about where AI is reliable and where a straightforward, deterministic automation is the safer bet.Write clean, maintainable code, mostly in Python, and stick to good habits like version control, code review, and documentation.Work with DevOps and SRE on deployment, secrets, monitoring, and keeping your automations healthy in production.