AI Engineer, Agent Platform
AI summary of the role
NewsBreak is hiring its first dedicated Agent Platform engineer to own the agent runtime, eval harness, and context engineering layer that powers multiple AI products in production.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build the agent runtime orchestrating context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products
- Design the eval and observability harness running thousands of agent traces per day to surface regressions and turn failures into improvements
- Own the context engineering layer — retrieval, ranking, compression, and memory — and contribute informed opinions on RAG vs. long-context vs. structured tool returns
- Integrate and benchmark new foundation models, making principled decisions on model selection based on capability and cost
What you’ll bring
- Demonstrable experience shipping an AI product with real users (side project, internal tool, open-source agent, or startup MVP)
- Active, hands-on familiarity with modern AI development tooling (Cursor, Claude Code, Codex, v0, or equivalents)
- Ability to work end-to-end independently: backend, frontend, deployment, instrumentation, and iteration
- Strong proficiency in Python (or Go / Node) with solid backend engineering experience (APIs, databases, queues, caches)
Technologies
Python · Go · Node.js · React · Next.js · Cursor · Claude Code · Codex · v0 · RAG · LoRA · RLHF
About NewsBreak
NewsBreak runs a 50M+ MAU local-news consumer app powered by AI recommendation and adtech, and is building an AI content-intelligence and publisher-monetization platform.
Private Late · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
information, visit www.newsbreak.com/about About the Role We're building the agent platform that powers NewsBreak's next-generation AI products — from local-news synthesis agents that millions of Americans wake up to, to paid-growth agents that autonomously decide what to advertise and where. One platform, several agentic products, real users, real spend, real consequences. We're hiring our first dedicated Agent Platform engineer to own this layer end-to-end. You'll join a small, focused team that ships weekly, works closely with product, and takes eval and observability seriously. Our codebase already runs multiple agents in production — and you'll help build what comes next. Responsibilities Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products — the foundational layer that other teams
More from the job description
About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about About the Role We're building the agent platform that powers NewsBreak's next-generation AI products — from local-news synthesis agents that millions of Americans wake up to, to paid-growth agents that autonomously decide what to advertise and where. One platform, several agentic products, real users, real spend, real consequences. We're hiring our first dedicated Agent Platform engineer to own this layer end-to-end. You'll join a small, focused team tha [... source excerpt omitted ...] s weekly, works closely with product, and takes eval and observability seriously. Our codebase already runs multiple agents in production — and you'll help build what comes next. Responsibilities Build the agent runtime that orchestrates context assembly, tool invocation, model routing, and workflow tracking across multiple agentic products — the foundational layer that other teams build on top of Design the eval and observability harness that runs thousands of agent traces per day, surfaces regressions before they ship, and turns production failures into actionable improvements Own the context engineering layer — retrieval, ranking, compression, and memory — that determines what [... source excerpt omitted ...] ke 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 Demonstrable experience shipping an AI product with real users — a side project, internal tool, open-source agent, or startup MVP you can speak to concretely Active, hands-on familiarity with modern AI development tooling (Cursor, Claude Code, Codex, v0, or equivalents) and a clear sense of how and when to apply them Ability
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