Hybrid AI Enablement Engineer

at Samba TV

• Job title: AI Enablement Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $150,000 - $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform
• Location requirements: Hybrid, San Francisco, United States

About the role

• AI Engineer designing and deploying production AI systems using cutting-edge technology to transform media engagement at Samba TV.

Responsibilities

• Join our AI Task Force to build production AI systems that improve how we develop software and work with data.
• You’ll design and ship autonomous agents, tool harnesses, and intelligent workflows that solve real problems for our teams.
• A core part of this role is working closely with internal teams—understanding their workflows, identifying where agents can help, and building solutions tailored to their needs.
• You’ll need to think critically about how LLMs actually work, what they’re good at, and where they fall short.
• Our team builds with Claude Code, Cursor, and other AI-assisted development tools daily—you should be deeply comfortable in these environments and excited to push them further.

Requirements

• 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

Benefits

• Health insurance
• wellness offerings
• life and disability insurance
• retirement savings plan
• paid holidays
• paid time off (PTO)