AI Engineer

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

• 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
  .

• 3+ years of software engineering experience, with strong depth in frontend or client-side product engineering
  .
• Strong JavaScript/Type Script 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.

• Java Script
• Type Script
• React
• Node.js
• Java
• Kotlin
• Python
• LLMs

• 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.

• 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.