Software Engineer 2 - AI Transformation Engineering

About this role

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Skills you'll use

What you'll do

• 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 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.
• Technical Requirements
• We're looking for engineers who have:
• 3+ years of professional experience in software development.
• Strong backend experience with Python .

Who can apply

• 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.
• Why Abnormal AI?

About Abnormal

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