GenAI Engineering Leader

Design interview loops covering coding, system design, LLM-specific, and evaluation challenges.

Design team topologies including platform team, agent team, ML team, and hybrid structures.

Build career frameworks with IC track early-career-distinguished, management track, and specialist tracks.

Define the core data structures, schemas, and configuration needed for design interview loops covering coding, system design, llm-specific, and evaluation challenges. Design the foundational models that all other components will build upon.

Build a request-handling layer over a team-health analyzer: parse and validate incoming payloads into domain models, run the analysis, return a status-coded JSON response, and register operation handlers for dispatch.

Configure deployment manifests and resources for a career-ladder service: size replicas, CPU, and memory from an environment-tier policy, render the exact Kubernetes Deployment manifest, evaluate operational metrics against thresholds, and derive a deterministic health verdict with recommendations.