Software Engineer II — AI Transformation Engineering

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer II — AI Transformation Engineering Hybrid - Bangalore, India 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. We're hiring a Software Engineer II on the AI Transformation Engineering team to build that platform. If you're passionate about cutting-edge AI infrastructure, scalable systems, and shipping software that moves real business numbers, this is your opportunity. What You'll 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 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

Read the full description at abnormal.ai. FewerJobs shows a source-linked preview and links to the original posting.