AI Engineer

DataJobs; Mountain View (CA); On-site; USD 118,000 - 212,000; Full time

Job summary

NewsBreak is seeking an AI Engineer for its AI-Native Product Engineering team based in Mountain View, CA (onsite). You will build user-facing products end to end, owning frontend architecture and API integration, while leveraging AI as a core development tool with coding agents to accelerate production readiness.

The role requires 3+ years of software engineering experience with a strong frontend focus, deep JavaScript/TypeScript knowledge, and experience shipping features with solid

Qualifications

• 3+ years of software engineering experience with frontend focus.
• Strong JavaScript/TypeScript fundamentals and React experience.
• Experience shipping production frontend features and architecture decisions.
• Experience designing or modifying APIs, backend services, or data contracts.
• Hands-on use of AI coding tools or coding agents in development.
• Strong fundamentals in debugging, reliability, testing, and performance.
• Ability to learn new technologies quickly and apply AI to adjacent stack areas.
• User-focused mindset aligned with business outcomes.
• Ability to work in fast-moving environment.

Responsibilities

• Build user-facing products end to end from requirements to rollout.
• Use AI as a core development tool collaborating with coding agents.
• Own frontend architecture and maintainable component systems.
• Define and implement API or backend changes.
• Maintain high AI-generated code quality with automated tests, observability, staged rollout, and rollback.
• Improve AI-native workflow with agent workflows and tooling.
• Modernize legacy systems via incremental refactors.
• Own production outcomes by investigating performance issues, logs, metrics, experiments, and AI-assisted debugging.

Skills

Frontend engineering

JavaScript/TypeScript

React

API design

AI tooling

Tools

Node.js

Java

Kotlin

Python

LLMs

Job description

AI Engineer for NewsBreak’s AI-Native Product Engineering team, based in Mountain View, CA (onsite).

Responsibilities

• Build user-facing products end to end, owning feature delivery from product requirements and frontend architecture through API integration, backend changes, testing, rollout, and production metrics.
• Use AI as a core development tool by collaborating with coding agents to generate, refactor, test, debug, and interpret code, while supplying context and validation for production readiness.
• Own frontend architecture and product quality by creating maintainable component systems, state and data flows, performance-sensitive experiences, and reliable testing patterns for consumer-scale products.
• Work across frontend/backend boundaries by defining and implementing the API or backend changes required to complete the product experience.
• Maintain a high bar for AI-generated code by performing critical reviews and using automated tests, observability, staged rollout, and rollback mechanisms to confirm correctness.
• Improve the AI-native engineering workflow by converting repetitive work into reusable agent workflows, tooling, conventions, and playbooks to increase team velocity.
• Modernize legacy systems through incremental refactors of frontend and service code so engineers and AI agents can safely understand and modify it.
• Own production outcomes by investigating performance issues, regressions, and incidents using logs, metrics, experiments, and AI-assisted debugging.

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.
• Proven 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, not limited to occasional autocomplete.
• Strong engineering fundamentals, with 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 focused on user experience and business outcomes.
• Comfort operating in a fast-moving environment where engineers help define the solution, not just execute a detailed specification.

Technologies

• JavaScript
• TypeScript
• React
• Node.js
• Java
• Kotlin
• Python
• LLMs

Role Notes (AI-Native Product Engineering)

• This role is frontend-leaning but not limited to the frontend.
• AI is used as the default approach to design, build, test, debug, and operate software.
• Engineers work with coding agents to ship production products quickly, while setting architecture, context, quality standards, and guardrails for reliable AI-generated software.
• Expectation is to own the problem end to end, rather than only one stack layer.

Bonus Points

• 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 01 products in a small, highly autonomous team.

Compensation: USD 118,000 - 212,000 per year.