Employer description & source details
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. We're looking for a Staff Engineer (AI) to architect and build the agentic systems and AI foundations within our Platform Services team - the team responsible for the shared infrastructure, internal tooling, and core services that other product teams build on. This is a deeply hands-on individual contributor role: you will set technical direction, write and review code, and own the design of systems that let HighLevel engineering teams build, ship, and operate AI-driven capabilities reliably at enterprise scale. Expert-level proficiency in either Go, Python or Nodejs. Strong working knowledge of LLM application fundamentals - tool/function calling, MCP, retrieval and context engineering, prompt and model management, and evaluation methodologies for non-deterministic systems. Strong observability fundamentals, with deep experience in AI observability - tracing agent runs and monitoring quality, latency, cost, and safety in production - using tools like Prometheus, Grafana, ELK/OpenSearch, or equivalent. Practical experience with GCP and/or AWS service management - provisioning, scaling, IAM, networking, and cost governance.
Extracted skills: python, go, aws, gcp, security