Go Cadre

Go Cadre

Senior AI Engineers

San Diego, USA · Senior · Contract

Sponsorship not specifiedDetected 13 hours ago
PythonNode.jsVector DatabasesDockerKubernetesTerraformAPI DevelopmentLLMsRAGAgentic AILLMOpsDesign SystemsResearch

About the role

  • You are the technical backbone of Cadre AI's delivery engine.
  • There are no over-the-wall handoffs here.
  • You thrive on deep, uninterrupted technical execution.

Responsibilities

  • Production AI System Development Design and build complex backend AI modules: custom agentic workflows, multi-step reasoning chains, and orchestrated tool-use pipelines across client environments.
  • Own end-to-end delivery of AI components from initial scaffold through deployment, ensuring the system behaves exactly as designed in the client's actual environment.
  • Advanced RAG and Retrieval Infrastructure Architect and optimize RAG pipelines over unstructured, messy, and multi-modal data sources, applying chunking strategies, embedding models, and re-ranking techniques that move retrieval accuracy from acceptable to precise.
  • Implement vector database solutions based on query patterns, data volume, and latency requirements specific to each engagement.
  • Agentic Orchestration and Context Engineering Build and maintain agentic systems with particular attention to tool selection, memory architecture, and failure recovery.
  • Manage context window constraints deliberately: design systems that stay within limits, degrade gracefully when they approach them, and never silently drop critical information.
  • Optimize prompt pipelines for latency and cost without degrading output quality, benchmarking before and after each change with data rather than intuition.
  • Infrastructure, Deployment, and Quality Own deployment of AI services using modern IaC tooling and containerized environments, ensuring repeatable, auditable deploys across dev and production.
  • Maintain production systems with structured logging, alerting, and cost monitoring so issues surface before clients notice them.
  • Internal Tooling and Platform Abstraction Identify patterns across client engagements and abstract the best implementations into reusable internal tools, libraries, and services that reduce future build time.

Requirements

  • The Role You are the technical backbone of Cadre AI's delivery engine.
  • You are not a generalist who dabbles in AI.
  • You have built production LLM systems, tuned RAG pipelines until retrieval accuracy became a non-issue, and debugged agentic chains under pressure.

Skills

  • custom agentic workflows, multi-step reasoning chains, and orchestrated tool-use pipelines across client environments.

Company info

  • Use AI coding assistants as a standard part of your workflow to accelerate output without sacrificing code quality or architectural integrity.
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This listing is sourced directly from Go Cadre's careers page and normalized into a canonical job model.