📍 Los Angeles, CA · Boulder, CO · New York, NY · St. Petersburg, FL | Hybrid | $175,000 – $200,000 + Equity + Benefits
VideoAmp is the tech-first measurement company transforming how advertising is valued, bought, and sold. Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, publishers, and agencies the ability to plan, optimize, and measure media investments across every screen — from linear TV and OTT to CTV and digital video.
VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies — helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV publisher ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry — we're defining what comes next.
We believe great work requires great people — people who say "I'll find a way" instead of "it can't be done."
The Principal AI Engineer will serve as a technical cornerstone of VideoAmp's AI Infra team, driving the design and execution of agentic workflow systems that bridge the gap between VideoAmp's platform APIs and AI-powered experiences. This is a high-impact, senior individual contributor role at the intersection of LLM infrastructure, API design, and developer enablement.
While acting as a collaborative guide and mentor for cross-functional teams adopting AI-native development patterns, you will architect and own critical systems — including MCP servers, scenario evaluation frameworks, and agentic workflow tooling. You thrive in a fast-moving, evaluation-driven environment and are equally comfortable whiteboarding a distributed system design, leading a working group, and shipping production-quality code.
- Design, build, and operate VideoAmp's AI infrastructure and its universal tool layers supporting both customer and internal workflows.
- Lead the development of scenario evaluation frameworks, including golden scenario design, automated CI/CD evaluation pipelines, and regression detection to ensure agentic workflow quality.
- Architect and implement efficient tool discovery systems (deferred loading, search-tools, tool categorization, semantic filtering) enabling scalable, multi-step agentic workflows.
- Partner with internal engineering teams to negotiate and promote API-first designs that serve both programmatic and agentic consumers.
- Own full SDLC of new Agent APIs from design through production, testing, releases, and enhancement.
- Facilitate weekly AI office hours, serving as the internal expert on LLM tooling, agentic patterns, and tool configuration.
- Contribute to multi-provider LLM abstraction layers ensuring flexibility of LLM provider (Anthropic, Snowflake, Databricks, etc.).
- Author, review, and drive clear, technical requirements documentation for new solutions.
- Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience considered.
- 8+ years of software engineering experience, with 3+ years in AI/ML infrastructure, LLM platform engineering, or agentic systems.
- Deep hands-on experience with LLM APIs (Anthropic, OpenAI, or equivalent) and familiarity with prompt engineering, tool use / function calling, and multi-step agent orchestration.
- Strong background in resource-based API design, and experience building or consuming developer-facing platform APIs at scale.
- Experience with MCP or equivalent tool-layer abstractions for exposing platform capabilities to AI agents.
- Proficiency in Golang, Python, and SQL; comfort working across backend services, CI/CD pipelines, and cloud infrastructure.
- Experience designing and operating evaluation frameworks or automated testing pipelines for non-deterministic systems (LLMs, probabilistic models).
- Strong cross-functional collaboration skills with a track record of working across engineering, product, and operations teams to drive alignment on shared infrastructure.
- Excellent written and verbal communication skills; able to produce design documents, postmortems, and system diagrams that create unanimous understanding.
✨ Bonus Points
- Familiarity with the AdTech / media measurement landscape (linear TV, OTT, CTV, digital video).
01 One VideoAmp
We win together
We operate as one team, prioritizing shared success over individual wins. We collaborate across functions, support one another, and assume positive intent — because when one of us succeeds, we all do.
02 Own the Outcome
Accountability + Empowerment
We take full responsibility for results, not just tasks. We act with urgency, make decisions with confidence, and own both successes and setbacks while continuously improving.
03 Raise the Bar
Quality · Trust · Excellence
We hold ourselves and each other to a high standard. We deliver thoughtful, high-quality work, build trust through consistency and integrity, and continuously push for better outcomes.
Ready to build what's next in AI-powered media measurement?
VideoAmp is an equal opportunity employer committed to building an inclusive, diverse team. We celebrate different perspectives, experiences, and backgrounds — because that's how we build something great.
videoamp.com · Los Angeles & New York
#LI-Hybrid
Top Skills
VideoAmp Boulder, Colorado, USA Office
902 Pearl St, Boulder, CO, United States, 80302
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