Senior Applied AI Engineer

RobCo•Austin, TX

About The Position

RobCo is building the category of Autonomous Industrial Robotics and we're doing it fast. We believe that automating the ordinary frees humans to do the extraordinary, and we're building the end-to-end robotics infrastructure to make that possible - hardware, software, and AI in one stack that just works. As our Senior Applied AI Engineer, you'll build the agentic workflows that run our solution delivery behind the scenes. Every customer project produces requirements, designs, plans, and checks on the way from a customer's problem to a robot running on their factory floor. Your agents will work at each of these steps: reviewing requirements before they become commitments, checking and improving artifacts as the project moves, and catching risks while there's still time to act on them. You'll build the first agentic workflows, the reusable components and governance they run on, and much of how RobCo uses AI internally.

Requirements

Several years of software engineering experience and the seniority to take a problem from ambiguous idea to production system, with clean architecture, solid testing, and maintainable code.
Shipped LLM-powered or agentic systems that real users depend on, not just prototypes: tool calling, structured outputs, multi-step workflows. Deep, practical experience with the agentic stack - orchestration, tool use, MCP, memory, and retrieval - in production environments.
Strong context engineering and prompt engineering skills: you think carefully about what the model sees and in what structure, you treat prompts as versioned, tested engineering artifacts, and you have a rigorous way of judging whether the output is actually good.
Built knowledge bases and put RAG pipelines to work. You don't need to be a retrieval specialist; you need to make organizational knowledge reliably available to agents and people.
Thinks in terms of systems and user outcomes, not individual scripts and demos, and brings a component mindset: while building the first agent, you're already thinking about the second and the tenth.
Genuine enjoyment of working with non-engineering teams: understanding their process, speaking their language, and designing automation around how they actually work.
Strong proficiency in Python and/or TypeScript, plus fluency with SaaS APIs, webhooks, and the practical realities of integrating business systems.
Ownership of outcomes and a startup way of working: scope intentionally, build smart, ship fast, and prefer pragmatic solutions that ship over perfect ones that don't.

Responsibilities

Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection, and a knowledge base that makes everything we've learned from past projects available to agents and people - owning each from concept through production.
Build the way we build: reusable components, skills, and patterns for tool integrations, feedback loops, and identity, secret, and auth management. You know the agentic toolbox inside out and decide what we actually need and what we don't.
Own quality end to end: design and run evals, monitor agents in production, and manage observability, cost, guardrails, and security so teams can trust what the agents produce.
Design human-in-the-loop workflows that learn: people review and correct agent output at defined checkpoints, and those corrections flow back into better prompts, evals, and components, so the agents keep improving.
Embed with our delivery teams to understand how their work actually flows, identify where agents create the most leverage, and define together what good looks like.
Drive adoption and help shape how RobCo uses AI internally: deliver agents through the tools teams already use every day, establish best practices, and build paved paths so teams can eventually create their own agents.