Lead AI Platform Engineer: Quality & Observability

Circle

Ireland

Remote

EUR 100,000 - 160,000

Full time

6 days ago
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Benefits offered by this job

35 days paid time off
Remote-first team
Equity and refresh grants
US benchmark compensation

Job summary

Circle is seeking a Lead Engineer for AI Quality to design and implement evaluation frameworks, observability tooling, and diagnostic infrastructure for AI-powered features. You will lead a growing team, own the evaluation stack, and work closely with AI Core to ensure reliability and efficiency.

This hands-on, player-coach role requires expertise in RoR/Python, evaluation pipelines, and creating scalable data-driven systems. The position is remote-first with a global team and generous benefits.

Qualifications

  • 7+ years of experience building and shipping production software with LLM-powered agents.
  • Experience with multi-tool systems, planning or orchestration, sub-agents.
  • Strong Ruby on Rails proficiency; Python is a plus for data/eval work.
  • Experience building eval pipelines, dashboards, or CI/CD for evals.

Responsibilities

  • Build and own evaluation infrastructure, pipelines, scorers, and data for AI agents.
  • Diagnose quality breakdowns across the agent pipeline and prioritize improvements.
  • Grow annotation workflows and AI-generated data for faster product coverage.
  • Run experiments across prompts, models, and agent harness; optimize for cost/latency.
  • Lead and grow the AI Quality engineering team while remaining hands-on.
  • Partner with AI Core engineering to ensure changes improve quality, not just shipping.

Skills

LLM-powered agents
Ruby on Rails
Python
Evaluation pipelines
Observability tooling
Experimentation
Leadership

Tools

Braintrust
LangSmith

Job description

Circle is seeking a Lead Engineer for AI Quality to design and implement evaluation frameworks, observability tooling, and diagnostic infrastructure for AI-powered features. You will lead a growing team, own the evaluation stack, and work closely with AI Core to ensure reliability and efficiency.

This hands-on, player-coach role requires expertise in RoR/Python, evaluation pipelines, and creating scalable data-driven systems. The position is remote-first with a global team and generous benefits.

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