.png)
The AI Enablement Engineer will build and deploy AI agents, design intelligent workflows, and collaborate with teams to improve processes using AI technologies.
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 monitoring, error handling, 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 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
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.
Samba TV San Francisco, California, USA Office
118 King Street, San Francisco, CA, United States, 94107
Similar Jobs
3D Printing
Lead product definition, technical strategy, customer discovery, and go-to-market execution for MCU-based server platform-management solutions. Define silicon, firmware, protocol, SDK, and reference-design requirements for distributed control across compute, accelerator, storage, power, and cooling systems. Engage hyperscalers, OEMs, ODMs, and ecosystem partners; evaluate standards and competitive solutions; create positioning, launch plans, business cases, roadmaps, and sales enablement. Coordinate architecture, engineering, applications, sales, and strategic customer teams through product development, interoperability validation, and customer design-ins.
Top Skills:
BmcGpioHardware Root Of TrustI2C/SmbusI3CMctpMcuOcp Dc-SciOcp Dc-ScmOpenbmcPldmPmbusRedfishRtosSdksSecure BootSpdmSpiUart
Artificial Intelligence • Information Technology • Software
Support the design, development, testing, and deployment of AI-powered applications across front-end, back-end, and data workflows. Collaborate with engineers, researchers, product managers, and operators to translate customer needs into product requirements, integrate AI models, evaluate outputs, improve reliability and usability, and ship production-grade tools for government, healthcare, and industrial customers.
Top Skills:
Cloud PlatformsPythonReactRest ApisTypescript
Marketing Tech
Build and own AI products for sales, marketing, customer service, finance, and other business teams. Embed with stakeholders to identify workflow opportunities, define KPI baselines, design AI tools and agents, and ship prototypes through production. Maintain reliability, adoption, monitoring, and ongoing iteration while creating reusable AI patterns and enabling teams to extend the tools. The role combines product discovery and engineering, requiring strong LLM experience, product judgment, communication, and autonomous execution.
Top Skills:
Ai AgentsAi EvaluationsArtificial IntelligenceBusiness Intelligence (Bi)Context EngineeringCrm PlatformsCustomer Support PlatformsLarge Language Models (Llms)Retrieval
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
