Чётко описанная senior-позиция в продуктовой компании даёт возможность отвечать за оценку production-LLM-систем и AI-платформу в быстроразвивающейся области.
Фокус на AI
Понятная зона ответственности
Работа над продуктом
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Developer (AI): Building AI evaluation systems, agent harnesses, and scalable backend services for ClickUp's AI workspace with an accent on LLM quality measurement, model orchestration, and production reliability. Focus on designing self-improvement loops, benchmarking and routing models across providers, and securing AI services through privacy, monitoring, and compliance practices.
Location: United States; Remote
Salary: $200K–$250K
Company
ClickUp is building an AI-native workspace that unifies tasks, documents, chat, calendar, and enterprise search with context-driven AI.
What you will do
Design, build, and own AI evaluation systems with golden datasets, LLM-as-judge scoring, regression detection, and quality tracking.
Build the core agent harness and self-improvement loops that modify agents or prompts, rerun evaluations, and iterate automatically.
Benchmark and manage multiple models, including model selection, routing, fallback strategies, and quality, latency, and cost trade-offs.
Architect scalable AI platform services for model deployment, orchestration, lifecycle management, serving, monitoring, logging, and automated evaluation.
Build backend APIs that integrate AI features into the core platform and collaborate with product, frontend, and data teams.
Drive AI privacy, security, anonymization, secure data handling, compliance, reliability, and production performance practices.
Requirements
5+ years of software engineering experience, including 2+ years building production LLM or ML systems.
Production experience building LLM evaluation systems, including golden datasets, LLM-as-judge, judge calibration, offline and online evaluations, and product-quality measurement.
Strong experiment design and statistical rigor, including A/B testing, offline versus online metrics, and distinguishing regressions from noisy or variable results.
Experience applying LLMs and AI models to real-world, customer-facing product features.
Experience integrating and managing multiple LLMs, including benchmarking, routing, and cost, latency, and quality trade-offs.
Deep expertise in backend engineering, distributed systems, and cloud-native technologies such as Kubernetes, Docker, AWS, GCP, or Azure.
Strong programming skills in Python, Go, TypeScript, or similar backend and AI platform languages.
Proficiency with orchestration frameworks and workflow engines such as LangGraph, Airflow, Ray, or similar tools.
Familiarity with search and retrieval technologies and their integration into AI applications, plus strong collaboration and communication skills.
Nice to have
Background in data science, applied science, or machine learning engineering.
Experience with evaluation tooling such as Braintrust, LangSmith, Weave, Arize, or in-house frameworks.
Experience with model routing, AI gateways, or inference optimization.
Culture & Benefits
AI fluency is evaluated during hiring, and every team member is expected to use AI daily.
Work remotely in a full-time employment role.
Collaborate cross-functionally with product, frontend, data, and engineering teams.
ClickUp is an Equal Opportunity Employer and processes candidate data under applicable privacy laws.
Engineering and product roles may receive employment visa sponsorship based on the specific role's business needs; sponsorship is not guaranteed.
Hiring process
Applications may be reviewed with artificial intelligence and machine learning tools against role-related criteria; these tools support but do not replace human decision-making.
Recruitment contact is initiated only through an @clickup.com email address or the official ClickUp careers portal.
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