Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products.
Design the evaluation and observability harness that runs thousands of agent traces per day, surfaces regressions before deployment, and turns production failures into actionable improvements.
Own the context engineering layer—retrieval, ranking, compression, and memory—that determines what makes it into a model call; contribute informed opinions on RAG vs. long-context vs. structured tool returns.
Integrate and benchmark new foundation models as they become available; make principled decisions about model selection across agents based on capability and cost.
Build user-facing surfaces—playgrounds, agent traces, control panels—and ship them to production; the internal product team relies on these tools daily.

Key requirements

Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products.
Design the evaluation and observability harness that runs thousands of agent traces per day, surfaces regressions before deployment, and turns production failures into actionable improvements.
Own the context engineering layer—retrieval, ranking, compression, and memory—that determines what makes it into a model call; contribute informed opinions on RAG vs. long-context vs. structured tool returns.
Integrate and benchmark new foundation models as they become available; make principled decisions about model selection across agents based on capability and cost.
Build user-facing surfaces—playgrounds, agent traces, control panels—and ship them to production; the internal product team relies on these tools daily.

Jobs at NewsBreak

1 active role from this employer in the JobMatcher catalog.

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Jobs at NewsBreak

1 active role from this employer in the JobMatcher catalog.

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About the role

NewsBreak is building the agent platform that powers our next-generation AI products—from local-news synthesis agents used by millions to paid-growth agents that autonomously decide what to advertise and where. We are hiring our first dedicated Agent Platform Engineer to own this layer end-to-end in Mountain View, California, United States. You will join a small, focused team that ships weekly, works closely with Product, and treats evaluation and observability as core disciplines. Our codebase already runs multiple agents in production—and you will help shape what comes next.

Responsibilities

Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products.
Design the evaluation and observability harness that runs thousands of agent traces per day, surfaces regressions before deployment, and turns production failures into actionable improvements.
Own the context engineering layer—retrieval, ranking, compression, and memory—that determines what makes it into a model call; contribute informed opinions on RAG vs. long-context vs. structured tool returns.
Integrate and benchmark new foundation models as they become available; make principled decisions about model selection across agents based on capability and cost.
Build user-facing surfaces—playgrounds, agent traces, control panels—and ship them to production; the internal product team relies on these tools daily.
Collaborate closely with product to take new agent concepts from early brief to working v1 in weeks.

Requirements

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About the role

NewsBreak is building the agent platform that powers our next-generation AI products—from local-news synthesis agents used by millions to paid-growth agents that autonomously decide what to advertise and where. We are hiring our first dedicated Agent Platform Engineer to own this layer end-to-end in Mountain View, California, United States. You will join a small, focused team that ships weekly, works closely with Product, and treats evaluation and observability as core disciplines. Our codebase already runs multiple agents in production—and you will help shape what comes next.

Responsibilities

Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products.
Design the evaluation and observability harness that runs thousands of agent traces per day, surfaces regressions before deployment, and turns production failures into actionable improvements.
Own the context engineering layer—retrieval, ranking, compression, and memory—that determines what makes it into a model call; contribute informed opinions on RAG vs. long-context vs. structured tool returns.
Integrate and benchmark new foundation models as they become available; make principled decisions about model selection across agents based on capability and cost.
Build user-facing surfaces—playgrounds, agent traces, control panels—and ship them to production; the internal product team relies on these tools daily.
Collaborate closely with product to take new agent concepts from early brief to working v1 in weeks.