AI Product Engineer

Abnormal Security is building AI-native systems that transform how enterprise GTM teams operate. As an AI Product Engineer, you'll work at the intersection of platform engineering and product delivery, building tools and capabilities that enhance AI agent functionality and enable non-technical users to leverage AI workflows.

Responsibilities:

• Build and extend agent platform capabilities — new tools, APIs, data connectors, and integrations that expand what AI agents can do without manual intervention
• Ship self-serviceable GTM tooling that enables non-technical users to set up their own AI-initiated LLM workflows
• Partner with AI Product Managers on platform requirements — translate their roadmap blockers into well-scoped engineering deliverables with reliable timelines
• Identify and build reusable infrastructure — proactively design horizontal capabilities that accelerate multiple product workstreams at once
• Own reliability and observability for the systems you build — you're not handing off to an ops team
• Demo your work weekly and communicate clearly to technical and non-technical stakeholders alike

Requirements:

• 2+ years of software engineering experience (strong internship and project portfolios considered)
• Demonstrated experience building with LLMs, agents, or AI APIs in a real product context — show us something that shipped
• Proficiency in Python; comfort picking up new frameworks quickly
• Experience integrating external APIs and building data pipelines
• Strong written communication — you can write a clear spec and a clear async update
• Ability to work with high autonomy, minimal oversight, and surface blockers proactively
• Frontend or full-stack experience (React/Next.js) for building internal tools and dashboards
• Familiarity with agentic frameworks (LangGraph, CrewAI, Autogen) or production-scale prompt engineering
• Prior experience in a startup or high-velocity small team
• Open source contributions or a public portfolio of AI projects