Software Engineer 2 - AI Transformation Engineering
Salary not listed • Hybrid - Bangalore, India • Full-time
Posted 1mo ago
Job Location
Hybrid - Bangalore, India
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Abnormal AI is seeking a Software Engineer II to join the AI Transformation Engineering team. This role focuses on building and extending Nora, the company's internal AI platform, which powers AI-driven workflows across all business functions. You will be responsible for developing services, factories, and sandboxes that enable internal teams to deploy AI workflows, and for integrating AI capabilities into existing internal systems like Salesforce and Jira. The position involves standing up new infrastructure when required and designing for seamless handoff to permanent ownership teams, ensuring a measurable contribution to business outcomes.
Responsibilities
- Build and ship services, factories, and sandboxes for the Nora AI platform.
- Develop connectors, services, and integrations to bring AI into internal record-keeping and operational systems.
- Design, ship, and harden net-new infrastructure for AI transformations.
- Design platform components for handoff, including writing documentation and defining SLOs.
- Own measurable contributions to business outcomes such as revenue, cost savings, or unblocked capabilities.
Requirements
- 3+ years of professional experience in software development.
- Strong backend experience with Python.
- Fluency with AI development stack including Claude, Codex, Gemini, Anthropic APIs, OpenAI APIs, and related tooling (APIs, MCP, agents).
- Proven track record of shipping platforms (APIs, services, SDKs) used by 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.
- Ability to understand and design solutions for real-world workflows by observing user operations.
- Demonstrated bias for handoff through documentation and SLO definition.