Principal AI Engineer
About The Position
VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday. We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values. People who say “I’ll find a way” instead of saying “it can’t be done.” At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising. Our solutions connect linear TV viewership with addressable data assets to benefit the marketing and media industries. This enables marketers and content owners to holistically plan, transact, and measure deduplicated audiences across digital video, OTT, connected and linear TV advertising. 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.
Requirements
- 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. You have 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.
Nice To Haves
- Familiarity with the AdTech / media measurement landscape (linear TV, OTT, CTV, digital video) is a plus.
Responsibilities
- Design, build, and operate VideoAmp's AI infrastructure and its universal tool layers supporting both customer and internal workflows.
- Lead the development of the scenarios 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.
Benefits
- This position has a salary range of $175,000 - $200,000 + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.
- Discretionary and flexible paid time off
- In addition to standard US holidays off, VideoAmp employees also partake in Spring, Summer and Winter breaks
- Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp
- Unlimited financial wellness sessions with Origin financial advisors
- 401k Plan with matching
- HSA & FSA
- Commuter Benefits
- Cell Phone Reimbursement
- Paid Maternity and Parental Leave for All Family Additions
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What This Job Offers
Job Type
Full-time
Career Level
Senior
