Senior AI Infrastructure Engineer role at VideoAmp, fully remote in the United States. Responsible for designing and executing agentic workflow systems bridging platform APIs and AI-powered customer experiences. Requires 6+ years software engineering experience including 1+ years in AI/ML infrastructure or LLM platform engineering. Strong skills in Go, Python, SQL, production API design, multi-tenant system design, and experience with LLM APIs (Anthropic, OpenAI). Responsibilities include owning multi-tenant tool layers, extending A2A interfaces, building durable agent runtimes, leading evaluation-driven development, designing agent orchestration, driving new agentic capabilities, participating in on-call rotations, and collaborating on API-first designs. Benefits include base salary $150,000-$180,000, equity, flexible PTO, comprehensive health coverage, 401(k) matching, paid parental leave, and reimbursements for cell phone and wifi.
What you'll do
Own multi-tenant tool layers including multi-tenant isolation, rate limiting, and caller-attribution systems
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Implement progressive discovery strategies for context, tools, agents, and skills using deferred loading, search, categorization, and semantic filtering
Design the agent harness and orchestration loop leveraging isolated context, shared memory, and multi-agent coordination
Drive new agentic capabilities from design to launch for customer experiences and own production rollouts
Participate in on-call rotation for customer-facing production systems and contribute to incident response, postmortems, and reliability improvements
Partner with internal engineering teams to promote API-first designs serving programmatic and agentic consumers
Contribute to multi-provider LLM abstraction layers ensuring flexibility among LLM providers
Facilitate AI office hours and cross-team enablement as internal expert on LLM tooling, agentic patterns, and tool configuration
Author, review, and drive clear technical requirements documentation including design docs, architecture diagrams, and postmortems
Requirements
6+ years of software engineering experience, with 1+ years in AI/ML infrastructure, LLM platform engineering, or agentic system development
Strong Go (Golang) engineering skills; backend systems are Go-first
Proficiency in Python and SQL
Production API design and operations experience
Experience building or consuming developer-facing platform APIs at scale, including on-call and incident response
Multi-tenant system design experience including rate limiting, caller attribution, tenant isolation, and external support surfaces for shared production APIs
Deep experience with LLM APIs such as Anthropic or OpenAI, including prompt engineering and tool use/function calling
Practical experience designing agent loops for production systems, including context and state management, prefix caching, and coordinating multi-step task execution
Experience with MCP or equivalent tool-layer abstractions for exposing platform capabilities to AI agents or building agents that consume them
Familiarity with A2A protocols and long-running, durable workflows
Experience building automated test and evaluation suites for LLM-based systems, including golden scenarios, regression detection, and quality gates in CI/CD
Track record of working across engineering, product, and operations teams to drive alignment and rollout of shared infrastructure and capabilities
Ability to produce design documents, postmortems, and system diagrams for technical and non-technical stakeholders
Base salary $150,000 to $180,000 (commensurate with experience)Equity participation includedDiscretionary & flexible PTO plus Spring, Summer & Winter company breaksInclusive and comprehensive medical, dental & vision insurance401(k) with matchingHSA & FSAPaid Maternity & Parental Leave for all family additionsCell phone & wifi reimbursementCommuter benefits
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