<p>Description</p><p><strong>About CloudBees</strong></p><p><br /></p><p>CloudBees is the leading software delivery platform for enterprise DevOps teams. As a startup in the developer operations space, we empower organizations to build, test, and release software with speed, security, and intelligence. Now, we’re evolving our platform with <strong>agentic AI technologies</strong> that help developers work smarter, not harder.</p><h3><br /></h3><h3><strong>The Role</strong></h3><p><br /></p><p>CloudBees is looking for a creative and technically sharp Software Engineer to help architect and prototype AI/ LLM-driven workflows that augment developer productivity. This is a hands-on engineering role focused on building agentic flows using tools like Goose, Unify MCP, AWS Q, and Gemini. If you thrive in ambiguity, love to prototype rapidly, and have a track record of shipping innovative ML/AI-powered features in startup environments, we want to talk.<br /><br />As a member of the AI Foundations founding team, this is a high-impact role that sits at the intersection of artificial intelligence and software delivery – ideal for someone passionate about pushing the boundaries of developer productivity and intelligent automation. </p><h3><br /></h3><h3><strong>Key Responsibilities</strong></h3><ul><li>Design, prototype, and test <strong>agentic workflows</strong> using platforms like Goose, Unify MCP, AWS Q, and Google Gemini.</li><li>Build and iterate on AI-powered agents that can autonomously interact with systems, APIs, and developer tools.</li><li>Translate product concepts into working demos and scalable pipeline implementations.</li><li>Collaborate cross-functionally with product managers, ML engineers, and DevOps teams to refine user workflows.</li><li>Optimize agent behavior for reasoning, autonomy, reliability, and safety.</li><li>Contribute to ML pipeline development for deploying and monitoring agentic flows in production environments.</li><li>Document architectures and share learnings across the engineering org.</li></ul><h3><strong>Required Qualifications</strong></h3><ul><li>3 agentic systems, LLM</li><li>5+ years of hands-on experience in AI/ML engineering, LLM Ops, </li><li>Proven knowledge &amp; experience developing agentic flows with frameworks like (Langchain, CrewAI, Agno, or custom)</li><li>Familiarity with <strong>prototyping and testing</strong> in environments with MCP enabled tools like Claude Desktop/Goose<strong>, AWS Q, and Gemini</strong>.</li><li>Experience designing and maintaining pipelines for ML models, workflows, or LLM agents.</li><li>Strong programming skills in Python, TypeScript, </li><li>Comfortable working in cloud-native environments (AWS/GCP) and with DevOps pipelines (e.g., GitHub Actions, Argo).</li><li>Startup experience or demonstrated ability to build fast, iterate quickly, and wear multiple hats.</li></ul><h3><strong>Preferred Qualifications</strong></h3><ul><li>Experience integrating agentic workflows into SaaS developer platforms.</li><li>Familiarity with orchestration, memory management, and context-aware agents.</li><li>Understanding of prompt engineering, tool augmentation, and LLM fine-tuning.</li><li>Knowledge of system observability and debugging tools for agents.</li></ul><h3><strong>Why Join CloudBees</strong></h3><ul><li>Build at the frontier of <strong>agentic AI + DevOps</strong>, solving real developer pain points.</li><li>Work with a passionate, globally distributed team in a flexible startup culture.</li><li>Have an outsized impact on product direction and innovation.</li><li>Competitive compensation, equity, and full remote benefits.</li></ul><p><strong>CloudBees is an Equal Opportunity Employer.</strong> We believe innovation happens when diverse perspectives come together.</p>