ClickUp Senior AI Developer at ClickUp designs and owns AI evaluation systems and core agent harnesses to measure and improve AI quality. The role involves building scalable backend AI platform services and collaborating cross-functionally.
Responsibilities
Design, build, and own ClickUp's AI evaluation system, including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features.
Build and evolve the core agent harness, and the AI that performs well on those evals, partnering closely with product and engineering to define what "great" looks like.
Build self-improvement loops where agents modify other agents or prompts, rerun evals, and iterate automatically.
Benchmark new models as they're released and own model selection, routing, and fallback strategies across providers (e.g., OpenAI, Anthropic, Google, open-weight), balancing quality, latency, and cost.
Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.
Build and maintain robust APIs and backend systems that integrate AI-powered features into ClickUp's core platform.
Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.
Drive best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence.
Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.
Qualification
Deep expertise in backend engineeringBackground in data scienceExperience with eval tooling (eExperience with model routingEqual Opportunity EmployerIf you are a Philippine Job ApplicantVisa Sponsorship
Required
5+ years of software engineering experience, including 2+ years building production LLM or ML systems.
Hands-on experience building LLM evaluation systems in production (golden datasets, LLM-as-judge, judge calibration, offline and online evals), tied to real product quality.
Strong experiment design and statistical rigor, including A/B testing, offline vs. online metrics, and separating real regressions from noisy or variable results.
Proven track record of applying LLMs and AI models to real-world, customer-facing product features.
Proven experience integrating and managing multiple LLMs, including benchmarking, routing, and cost/latency/quality tradeoffs.
Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).
Strong programming skills in Python (preferred), Go, TypeScript, or similar languages used for backend and AI platform development.
Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Ray, or similar).
Familiarity with search and retrieval technologies and their integration into AI-driven applications.
Excellent collaboration and communication skills, with a track record of working effectively in cross-functional teams.
Passion for staying at the forefront of AI and applying new technologies to solve real-world problems at scale.
Preferred
Background in data science, applied science, or machine learning engineering.
Experience with eval tooling (e.g., Braintrust, LangSmith, Weave, Arize, or in-house frameworks).
Experience with model routing, AI gateways, or inference optimization.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice.
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice for further details.
