Software Engineer II — AI Transformation Engineering

Abnormal AI is the most AI-native company in cybersecurity and were 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. Nora is our internal AI platform and were investing in the engineering muscle to extend it across every record-keeping system and operational surface inside the company.

Were hiring a Software Engineer II on the AI Transformation Engineering team to build that platform. If youre passionate about cutting-edge AI infrastructure scalable systems and shipping software that moves real business numbers this is your opportunity.

As part of our Transformation Engineering team you will:

• 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 dont 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.

Were looking for engineers who have:

• 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). Bonus for building plugins skills or integrations against them.
• 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.

• Build the platform that makes an AI-native company actually work Not a demo not a pilot. The production substrate that 2000 employees run on every day.
• Workflow ROI is the bar even for platform work No vanity metrics no permanent foundational projects. If it doesnt move a number we kill it or hand it off.
• Direct line to impact When you ship infrastructure Marketing Sales or Support starts running on it within weeks. The feedback loop is days not quarters.
• Solve complex challenges at scale Internal AI platform serving every function built to the same standard as our customer-facing security products.
• Join a high-caliber team Collaborate with industry-leading engineers AI researchers security experts and operators who treat AI leverage as a first-class engineering discipline.
• Impact Fortune 500 enterprises The factories you build are how Abnormal scales protection for the worlds largest companies from sophisticated cyber attacks.

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