Software Engineer II – AI Transformation Engineering

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🕒 May 28

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Abnormal Security

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501 - 1000 employees

Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

📋 Description

• Build the Nora platform — Ship the services, factories, and sandboxes that internal teams use to deploy AI workflows. Own real platform components end-to-end. • Weave AI into our internal systems — 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. • Stand up net-new infrastructure — 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. • Design for handoff — 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. • Own outcomes, not just output — 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.

🎯 Requirements

• 3+ years of professional experience in software development • Strong backend experience with Python • Fluency with the AI development stack — Claude, Codex, Gemini, Anthropic APIs, OpenAI APIs, and the surrounding tooling (APIs, MCP, agents) • A track record of shipping platforms others build on — APIs, services, or SDKs that survived contact with other teams • Experience building scalable, enterprise-grade applications • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) • Strong fundamentals in computer science, distributed systems, and performance optimization • Operator empathy — can sit with a Sales Ops or Marketing Ops lead, watch them work, and design a factory that fits the real workflow • A bias for handoff — you write docs, define SLOs, and pick the next owner before you ship.

🏖️ Benefits

• Build the platform that makes an AI-native company actually work • Workflow ROI is the bar, even for platform work • Direct line to impact • Solve complex challenges at scale • Join a high-caliber team • Impact Fortune 500 enterprises