Software Engineer 2 - 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.

What Youll Do as a Software Engineer II

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.

Technical Requirements

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.