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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and evaluating AI systems, particularly LLMs, with a focus on production quality, statistical analysis, and backend engineering. Proficient in integrating AI features into platforms while ensuring compliance with privacy and security standards.
Highest-signal resume keywords
LLM Evaluation SystemsBackend EngineeringStatistical RigorCloud-Native TechnologiesAI Privacy and Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoTypeScriptA/B TestingModel BenchmarkingDistributed SystemsAPIs DevelopmentData AnonymizationExperiment DesignAI Model Integration
Soft Skills
CollaborationCommunication
Tools & Technologies
KubernetesDockerAWSGCPAzureLangGraphAirflowRay
Industry Keywords
AI EvaluationQuality TrackingModel SelectionLatency ManagementRegulatory Adherence
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonRayTypeScriptGo
About the role
Key responsibilities & impact- 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 evaluations, partnering with product and engineering to define quality standards
- Build self-improvement loops where agents modify other agents or prompts, rerun evaluations, and iterate automatically
- Benchmark newly released models and own model selection, routing, and fallback strategies across providers while balancing quality, latency, and cost
- Architect, design, and implement scalable AI platform services for deployment, orchestration, and lifecycle management of LLMs and other AI models
- Build and maintain robust APIs and backend systems integrating AI-powered features into ClickUp's core platform
- Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure reliable, high-performing production AI services
- Drive best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence
- Collaborate with product, frontend, and data teams to deliver reliable, user-centric AI experiences
Requirements
What you’ll need- 5+ years of software engineering experience, including 2+ years building production LLM or ML systems
- Hands-on experience building LLM evaluation systems in production, including 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 such as Kubernetes, Docker, and AWS/GCP/Azure
- Strong programming skills in Python, Go, TypeScript, or similar backend and AI platform languages
- Proficiency in orchestration frameworks and workflow engines such as 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
- Visa sponsorship is not guaranteed and depends on business needs for the specific role
Benefits
Comp & perks- Equity
- 401k
- Health, Dental, and Vision insurance
- Spending accounts
- Life & Disability
- Paid parental leave
- Flexible paid time off
- Enhanced employee assistance program
- Employee wellness stipend
- Professional development stipend
