Generalintelligencecompany

Generalintelligencecompany

Applied AI Engineer - Agent

New York

Sponsorship not specifiedDetected 295 days ago
PythonDistributed SystemsPostgreSQLRedisDatadogData EngineeringLLMsRAGAI OrchestrationA/B TestingResearch

About the role

  • We're hiring an Applied AI Engineer to push the boundaries of our Cofounder agent.
  • This is a hands-on role with high ownership across research-to-production: prototyping, instrumenting, evaluating, and deploying improvements that show up directly in user outcomes.

Responsibilities

  • Design and implement agent improvements end-to-end: prompting strategies, tool selection, action planning, memory usage, safety/guardrails, and recovery paths
  • Build robust evaluation pipelines for the agent: offline evals (golden tasks, regression suites, behavior tests), online metrics (latency, success rate, fallout modes, cost efficiency), and experimentation frameworks (A/B, canaries, guardrail thresholds)
  • Partner with product and infra to define success metrics and ship fast, safe iterations
  • document design decisions and runbooks
  • Hands-on LLM experience: prompt engineering, function-calling, retrieval, embeddings, evaluation design
  • Write clean, well-tested code; document design decisions and runbooks
  • Hands-on LLM experience: prompt engineering, function-calling, retrieval, embeddings, evaluation design; you've shipped LLM features to production
  • Track record building evaluation harnesses and using them to drive improvements (regression suites, task success metrics, cost/runtime tradeoffs)
  • advancing agent reliability and autonomy, building evaluation pipelines, and shipping techniques that measurably improve agent performance.
  • build autonomous agents that run entire businesses

Requirements

  • you enjoy finding and fixing edge cases in the wild

Nice to have

  • Experience with agent frameworks, tool orchestration, and memory architectures
  • RAG systems in production (chunking, retrieval quality, freshness strategies)
  • Observability stacks (Datadog, OpenTelemetry), and cost/latency optimization

Skills

  • Excellent debugging and instrumentation skills; you enjoy finding and fixing edge cases in the wild

Compensation

  • Competitive salary and meaningful equity

Benefits

  • Competitive salary and meaningful equity
  • Comprehensive benefits and flexible work setup

This listing is sourced directly from Generalintelligencecompany's careers page and normalized into a canonical job model.