The Role
Build and deploy production AI agents for internal teams, including custom tools, function calling, execution harnesses, cloud services, and integrations. Partner with non-technical teams to identify automation opportunities, engineer LLM context, maintain tool libraries, and operate agents with monitoring, error handling, cost controls, prompt optimization, caching, and model selection.
Summary Generated by Built In
Samba connects the advertising industry. Today, a trillion dollars of media flows through platforms that don’t talk to each other, and each one measures its own results. We built the independent alternative: consented first-party data and AI that give the world’s biggest advertisers, publishers, and platforms one clear view across all of it.
The next era of advertising will run on AI agents, and those agents will need data they can trust. We’re building that foundation, and the agents that act on it. Join us and help build what the industry runs on.
You build AI agents that internal teams across Samba actually use, on the AI Engineering team. That means sitting with a non-technical team, finding where their work is slow, and shipping an agent with the tools and harness it needs to help, on the desktop or in the cloud. You own it from idea to measurable impact.
- Ship Agents: Build and deploy AI agents using modern agent SDKs such as Claude or OpenAI, with custom tools and function calling.
- Build the Harness: Design tool harnesses and execution environments for agents, both on the desktop through local CLI and IDE integrations, and in the cloud as containerized, API-driven services.
- Embed With Teams: Partner with internal teams to understand their workflows, identify automation opportunities, and build agents tailored to their use cases.
- Reason About Models: Think critically about LLM capabilities and limitations, understanding the differences between models, when to use which, and how to get the best results from each.
- Engineer the Context: Develop context engineering strategies that give LLMs the right information at the right time, within token limits.
- Maintain Tool Libraries: Build and maintain custom tool libraries that agents use to interact with internal systems, APIs, and data sources.
- Run Agents in Production: Deploy and manage agents in cloud environments with monitoring, error handling, and cost controls, optimizing spend and performance through prompt engineering, caching, and model selection.
What You Bring
- You have built AI agents and shipped them to production, not just prototypes, including the tools, harnesses, and scaffolding they run on, and deployed them in cloud environments.
- You use Claude Code and Cursor daily and are deeply comfortable with AI-assisted development, including headless mode, multi-file editing, and MCP server integration.
- You think critically about LLMs and understand how they work under the hood, reasoning about the differences between Claude, GPT, Gemini, and open-source models to pick the right one.
- You have strong product sense, focus on what users actually need, ship pragmatic 80% solutions and iterate, and take ownership from idea to measurable impact.
- You can sit with a non-technical team, translate their pain points into an agent that helps, explain complex AI systems to anyone in the company, and stay current as the landscape shifts.
- You are comfortable working across cloud platforms (GCP, AWS, Azure) and containerized environments.
- A plus: advanced agent patterns or multi-agent systems, building and configuring Model Context Protocol (MCP) servers, open-source AI/ML contributions, LLM observability tools, and media, adtech, or streaming data knowledge.
Compensation
$200,000 - $250,000 a year (OTE)
Samba expects to offer on-target earnings (OTE) of $200,000 to $250,000 per year for roles to be performed in California; OTE comprises base salary plus target variable compensation, and actual earnings will depend on various factors, including but not limited to, location, experience, performance, and attainment against targets. OTE is one component of Samba's total compensation package for employees. Other rewards may include long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer.
Your personal information
We collect personal information directly from you when you apply. Where the law permits, we may also receive it from third parties, such as through background, employment, or reference checks. For details, see Samba’s Applicant Privacy Policy. For EU residents, Samba Inc. is the data controller.
Use of AI in hiring
We may use AI tools to help review applications, analyze resumes, or assess responses. These tools support our recruiting team. People make every hiring decision. To learn more about how we process your data, please reach out.
Skills Required
- Experience building and deploying AI agents to production, including their tools, harnesses, and scaffolding
- Cloud deployment experience and comfort working with containerized environments
- Daily proficiency with Claude Code and Cursor, including headless mode, multi-file editing, and MCP server integration
- Strong understanding of LLM capabilities, limitations, and differences among Claude, GPT, Gemini, and open-source models
- Strong product sense and ability to deliver pragmatic solutions with measurable impact
- Ability to translate non-technical team workflows into AI agent solutions and explain complex AI systems clearly
- Advanced agent patterns or multi-agent systems experience
- Experience building and configuring Model Context Protocol servers
- Open-source AI or machine learning contributions
- Experience with LLM observability tools
- Media, advertising technology, or streaming data knowledge
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The Company
What We Do
Samba is a media-intelligence company that combines consented first-party viewership data from streaming, linear TV, the web, and video games with AI to map content, audiences, and outcomes. Its platform gives advertisers, publishers, and media platforms insight into audience behavior and supports campaign planning, targeting, measurement, and optimization across channels. Samba’s data and analytics help clients understand audiences and make marketing decisions.
