Boulder, United States; Los Angeles, United States; New York, US; St. Petersburg, United States
Full job description
Principal AI Engineer role at VideoAmp. Responsible for designing and operating AI infrastructure and agentic workflow systems bridging platform APIs and AI experiences. Lead scenario evaluation frameworks, tool discovery systems, and API-first designs. Own full SDLC of Agent APIs. Facilitate AI office hours and contribute to multi-provider LLM abstraction layers. Requires 8+ years software engineering experience with 3+ years in AI/ML infrastructure or LLM platform engineering. Proficiency in Golang, Python, SQL, and experience with LLM APIs (Anthropic, OpenAI). Strong API design and cross-functional collaboration skills required. Located in Los Angeles, Boulder, New York, or St. Petersburg with hybrid work model. Salary $175,000–$200,000 plus equity and benefits including PTO, health, 401(k), parental leave, and commuter perks.
What you'll do
Design, build, and operate VideoAmp's AI infrastructure and its universal tool layers supporting both customer and internal workflows
Similar jobs
More roles worth a look
Related opportunities based on specialty and working model so candidates can keep momentum.
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
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 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
