200K–250K USD / year

Senior AI Developer

AIRemote — United States
Published on 2026-11-06
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build and improve ClickUp’s AI quality evaluation systems, agent harness, and production AI capabilities. The role combines hands-on LLM development with scalable backend and platform engineering, focused on reliable, secure, customer-facing AI.

About the company

ClickUp is a work management platform that combines tasks, docs, goals, and collaboration tools for teams running projects across functions.

Stack

PythonGoTypeScriptKubernetesDockerAWSGCPAzure

What you'll do

  • Own AI evaluations, including golden datasets, automated scorers, regression detection, and quality tracking.
  • Build and evolve the core agent harness and self-improvement loops for agents and prompts.
  • Benchmark models and manage model selection, routing, and fallback strategies across providers.
  • Develop scalable AI platform services, APIs, and backend systems for AI features.
  • Build infrastructure for model serving, monitoring, logging, and automated evaluation.
  • Promote privacy, security, and compliance in AI systems.
  • Collaborate with product, frontend, and data teams to deliver user-focused AI experiences.

What we're looking for

  • 5+ years of software engineering experience, including 2+ years building production LLM or ML systems.
  • Production experience building LLM evaluation systems, including judge calibration and offline and online evaluations.
  • Strong experiment design and statistical rigor, including A/B testing and analysis of noisy results.
  • Experience applying AI models to customer-facing products and managing multiple LLMs.
  • Expertise in backend engineering, distributed systems, and cloud-native technologies.
  • Strong programming skills in Python, Go, TypeScript, or similar languages.
  • Experience with orchestration frameworks or workflow engines.
  • Familiarity with search and retrieval technologies.

Nice to have

  • Background in data science, applied science, or machine learning engineering.
  • Experience with Braintrust, LangSmith, Weave, Arize, or in-house evaluation tools.
  • Experience with model routing, AI gateways, or inference optimization.

Benefits

  • Equity
  • 401(k)
  • Health, dental, and vision insurance
  • Paid parental leave
  • Flexible paid time off
  • Wellness and professional development stipends
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