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NEXTMOVEFDE careers · United States

AI Product Engineer

AI summary of the role

Samba TV seeks an AI Product Engineer to build and deploy production-grade AI agents that automate internal workflows across the company.

What you’ll do

  • Build and deploy AI agents using modern agent SDKs (Claude, OpenAI) with custom tools and function calling
  • Design and build tool harnesses and execution environments for agents on desktop and cloud
  • Partner with internal teams to identify automation opportunities and build tailored agents
  • Develop context engineering strategies to give LLMs the right information within token limits

What you’ll bring

  • Proven experience building and shipping AI agents to production
  • Experience deploying agents in cloud environments and handling real-world challenges
  • Experience building tools, harnesses, or scaffolding for agents
  • Daily proficiency with Claude Code and Cursor, including headless mode and MCP integration

Technologies

AI agents · Claude · OpenAI · function calling · MCP · Claude Code · Cursor · GCP · AWS · Azure

About Samba TV

Samba TV uses automatic content recognition embedded in smart TVs to measure cross-screen viewership and power audience targeting and ad measurement for brands and agencies.

Private Late · 200–500 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. WHAT YOU'LL DO Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven) Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents
More from the job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant. WHAT YOU'LL DO Build and deploy AI agents using modern agent SDKs (Claude, OpenAI, or similar) with custom tools and function calling Design and build tool harnesses and execution environments for agents—both on desktop (local CLI, IDE integrations) and in the cloud (containerized, API-driven) Partner with internal teams across the organization to understand their workflows, identify automation opportunities, and build agents tailored to their use cases Think critically about LLM capabilities and limitations—understand the differences between models, when to use which, and how to get the best results from each Develop context engineering strategies—understanding how to give LLMs the right information at the right time within token limits Build and maintain custom tool libraries that agents can use to interact with internal systems, APIs, and data sources Deploy and manage agents in cloud environments with proper mo [... source excerpt omitted ...] ling, and cost controls Optimize LLM costs and performance through prompt engineering, caching, and smart model selection WHO YOU ARE You’ve built AI agents and shipped them to production—not just prototypes You’ve deployed agents in cloud environments and dealt with the real-world challenges that come with it You’ve built tools, harnesses, or scaffolding that agents use to accomplish tasks You use Claude Code and Cursor daily—you’re deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration You think critically about LLMs—you understand how they work under the hood, not just how to call an API You understand the

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