AI Product Engineer

San Francisco, California Engineering – AI Engineering /US Full-time Salaried /On-site 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 DOBuild 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 monitoring, error handling, and cost controls

Optimize LLM costs and performance through prompt engineering, caching, and smart model selectionWHO YOU AREYou’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 itYou’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 APIYou understand the differences between models (Claude, GPT, Gemini, open-source) and can reason about which to use for a given task

You have strong product sense—you focus on what users actually need, not just what’s technically interesting

You’re pragmatic—you ship 80% solutions quickly and iterate based on feedback

You can sit with a non-technical team, understand their pain points, and translate that into an agent that actually helps

You take ownership and drive things from idea to measurable impact

You communicate clearly—you can explain complex AI systems to anyone in the company

You stay current with the rapidly evolving AI landscape and bring new ideas to the team

You’re comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments

Experience with advanced agent patterns or multi-agent systems

Experience building and configuring MCP (Model Context Protocol) servers

Open-source contributions to AI/ML projects

Familiarity with observability tools for LLM applications

Media, ad tech, or streaming data domain knowledge $150,000 - $200,000 a year Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.