Software Engineer 2 - AI Transformation Engineering

Abnormal AI; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Abnormal AI is building the Nora internal AI platform to power AI-native workflows across the company. As a Software Engineer II, you will own platform components end-to-end, create connectors and integrations with internal systems, and design new infrastructure to meet evolving needs.

You will ship APIs, services, and SDKs that other teams rely on, while prioritizing robust handoff, documentation, and definable SLOs. Join a high-caliber team delivering security-focused AI capabilities at scale.

Qualifications

• 3+ years of professional software development experience.
• Strong backend experience with Python.
• Fluency with the AI development stack — Claude, Codex, Gemini, Anthropic APIs, OpenAI APIs.
• Track record of shipping platforms (APIs/services/SDKs).
• Experience building scalable enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Fundamentals in CS, distributed systems, and performance optimization.

Responsibilities

• Build the Nora platform — ship services, factories, sandboxes used to deploy AI workflows.
• Weave AI into internal systems with connectors, services, and integrations.
• Stand up net-new infrastructure — design, ship, and harden platform capabilities.
• Design for handoff — write docs, define SLOs, and assign future owners.
• Own outcomes with measurable business impact beyond just output.

Skills

Python

Backend

APIs

Cloud

Distributed Systems

Docker

Kubernetes

OpenAI APIs

Tools

Docker

Kubernetes

OpenAI APIs

Job description

The Opportunity

Abnormal AI is the most AI-native company in cybersecurity — and we're 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 we're investing in the engineering muscle to extend it across every record-keeping system and operational surface inside the company.

What You'll Do as a Software Engineer II

• 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

• 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?

• Build the platform that makes an AI-native company actually work — Not a demo, not a pilot. The production substrate that 2,000+ employees run on every day.
• Workflow ROI is the bar, even for platform work — No vanity metrics, no permanent "foundational" projects. If it doesn't 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 world's largest companies from sophisticated cyber attacks.

A note on AI in our process:

Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.