AI Engineer, Internal Enablement & Productivity

<div class="section page-centered" data-qa="job-description"> <h2><strong>Company Description</strong></h2> <div>Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science &amp; Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.</div> <h2><strong>Job Description</strong></h2> <div>&nbsp;</div> </div> <div class="section page-centered" data-qa="closing-description"> <div> <p>We are seeking an experienced AI Engineer to join our AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency across the company by scaling robust AI integrations and agentic workflows.&nbsp; This role will be central to designing and deploying agents to handle complex, end-to-end tasks, driving measurable improvements in how our core teams (e.g., Product, Engineering, Operations, and Customer Success) work. This strategic and execution-focused role will lead our internal AI Enablement roadmap, initially focusing deeply on improving core departments (e.g., Sales, Marketing, Product, Engineering, Operations, and Customer Success) through agentic automation.</p> You'll leverage best-in-class AI tools and AI agents (e.g. Gemini and other LLMs) to dramatically increase employee productivity, drive down operational costs, and enable our teams to deliver faster, better outcomes at scale. Your goal is to build our foundation for an AI-enabled future, implementing AI-driven workflows and agents throughout the organization, starting with internal operations and coupling workflows across key functions like GTM.</div> <div><br>To do this job well, we are looking for someone who can demonstrate project(s) built on LLMs that showcases your skill at reliably automating complex tasks. <ul> <li>Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations</li> <li>Experience integrating and working with agent frameworks (e.g. Claude Agent SDK, Google Anti-Gravity,&nbsp; OpenAI Agent SDK)</li> <li>Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).</li> <li>Experience working in highly ambiguous environments, and operate with urgency</li> <li>Startup experience, particularly in scaling products from zero to one</li> </ul&g