Software Engineer 2 - AI Transformation Engineering

<h2>The Opportunity</h2> <p>Abnormal AI is the most AI-native company in cybersecurity — and we're building the internal platform that makes that real. Every function at Abnormal runs on AI-powered workflows that compound human leverage instead of replacing it. <strong>Nora</strong> is our internal AI platform, and we're investing in the engineering muscle to extend it across every record-keeping system and operational surface inside the company.</p> <p>We're hiring a <strong>Software Engineer II</strong> on the AI Transformation Engineering team to build that platform. If you're passionate about cutting-edge AI infrastructure, scalable systems, and shipping software that moves real business numbers, this is your opportunity.</p> <h2>What You'll Do as a Software Engineer II</h2> <p>As part of our Transformation Engineering team, you will:</p> <ul> <li><strong>Build the Nora platform</strong> — Ship the services, factories, and sandboxes that internal teams use to deploy AI workflows. Own real platform components end-to-end.</li> <li><strong>Weave AI into our internal systems</strong> — Build the connectors, services, and integrations that bring AI into the record-keeping and operational systems Abnormal already runs on (Salesforce, Jira, data warehouses, internal apps). The hard problem is making AI useful where work actually happens.</li> <li><strong>Stand up net-new infrastructure</strong> — When a transformation requires capabilities that don't exist yet, you build them. Spec, ship, and harden the platform so other teams can build on top.</li> <li><strong>Design for handoff</strong> — Build the platform, then transition long-term ownership to a permanent home (often a platform team in R&D). Write the docs, define SLOs, and pick the next owner before you ship.</li> <li><strong>Own outcomes, not just output</strong> — Every engineer on this team owns a measurable contribution to a business outcome — revenue, cost saved, hours returned to the business, or capabilities unblocked for the teams building on top of you. </li> </ul> <h2>Technical Requirements</h2> <p>We're looking for engineers who have:</p> <ul> <li>3+ years of professional experience in software development.</li> <li>Strong backend experience with <strong>Python</strong>.</li> <li>Fluency with the AI development stack — Claude, Codex, Gemini, Anthropic APIs, OpenAI APIs, and the surrounding tooling (APIs, MCP, agents). Bonus for building plugins, skills, or integrations against them.</li> <li>A track record of shipping platforms others build on — APIs, services, or SDKs that survived contact with other teams.</li> <li>Experience building scalable, enterprise-grade applications.</li> <li>Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).</li> <li>Strong fundamentals in computer science, distributed systems, and performance optimization.</li> <li>Operator empathy — can sit with a Sales Ops or Marketing Ops lead, watch them work, and design a factory that fits the real workflow.</li> <li>A bias for handoff — you write docs, define SLOs, and pick the next owner before you ship.</li> </ul> <h2>Why Abnormal AI?</h2> <ul> <li><strong>Build the platform that makes an AI-native company actually work</strong> — Not a demo, not a pilot. The production substrate that 2,000+ employees run on every day.</li> <li><strong>Workflow ROI is the bar, even for platform work</strong> — No vanity metrics, no permanent "foundational" projects. If it doesn't move a number, we kill it or hand it off.</li> <