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Software Engineer 2 - AI Transformation Engineering

Abnormal AI· R&D AI Transformation
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Hybrid (Bangalore, India)full-timePosted 1mo ago

About the role

Software Engineer II role on the AI Transformation Engineering team building Abnormal AI's internal Nora platform, integrating AI into internal systems, and delivering scalable, enterprise-grade infrastructure.

Responsibilities

  • 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).
  • 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.

Qualifications

  • 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.

Skills

Required:PythonAI development stackAPIs, services, or SDKsCloud platformsContainerizationDistributed systemsOperator empathyHandoff / documentation
Last updated Sep 19, 2026. Interested? Apply on the company site.

About Abnormal AI

The Behavioral Security Platform for the AI era.

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