AI Engineer — AI-Native Product Engineering

NewsBreak•Mountain View, CA

9d•$118,000 - $212,000•Onsite

About The Position

NewsBreak is seeking an AI Engineer for their AI-Native Product Engineering team. This role is focused on rethinking software development in an AI-native world, where AI is the default for building, testing, and operating software. The engineer will work with coding agents to ship production products, establish architecture, set quality standards, and ensure AI-generated software is reliable. While the role is frontend-leaning, it requires the ability to work across APIs, backend services, data flows, and developer tooling, owning problems end-to-end. The team is committed to a high-growth trajectory and building the infrastructure layer for content intelligence.

Requirements

3+ years of software engineering experience, with strong depth in frontend or client-side product engineering.
Strong JavaScript/TypeScript fundamentals and hands-on experience with React or a comparable modern frontend framework.
Experience shipping meaningful user-facing features in production and making frontend architecture decisions around components, state, data flow, performance, or testing.
Evidence of ability to work beyond the frontend layer, such as designing or modifying APIs, backend services, data contracts, or developer tooling.
Hands-on use of modern AI coding tools or coding agents as part of real development work.
Strong engineering fundamentals and the ability to reason about system behavior, debugging, reliability, testing, and performance.
Ability to learn unfamiliar technologies quickly and use AI effectively to expand into adjacent parts of the stack.
Strong product mindset: care about user experience and business outcomes, not just implementation.
Comfortable operating in a fast-moving environment where engineers help define the solution rather than simply execute a detailed specification.

Nice To Haves

Experience building AI-native or agent-powered user experiences.
Experience building or operating coding agents, LLM workflows, or developer productivity tools.
Backend experience with Java, Kotlin, Python, Node.js, or similar technologies.
Experience with recommendation, feed, search, ads, growth, or other large-scale consumer products.
Experience improving web performance, experimentation infrastructure, design systems, or CI/CD quality gates.
Experience shipping 0→1 products in a small, highly autonomous team.

Responsibilities

Build user-facing products end to end, owning features from product requirements and frontend architecture through API integration, backend changes, testing, rollout, and production metrics.
Use AI as a core development tool, working with coding agents to generate, refactor, test, debug, and understand code, while providing context and validation for production quality.
Own frontend architecture and product quality, building maintainable component systems, state and data flows, performance-sensitive experiences, and reliable testing patterns for consumer-scale products.
Cross frontend/backend boundaries, making necessary API or backend changes to complete a product experience.
Set a high bar for AI-generated code by critically reviewing outputs and using automated tests, observability, staged rollout, and rollback mechanisms for verification.
Improve the AI-native engineering workflow by turning repetitive development work into reusable agent workflows, tooling, conventions, and playbooks.
Modernize existing systems by refactoring legacy frontend and service code incrementally for better understanding and modification by both engineers and AI agents.
Own production outcomes by investigating performance issues, regressions, and incidents using logs, metrics, experiments, and AI-assisted debugging.