Senior AI Developer

Showcify, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

ClickUp is seeking a Senior AI Engineer to join the Engineering team with a focus on AI evaluations. You will own how we measure and improve the quality of ClickUp's AI, building eval systems, the core agent harness, and scalable backend services for LLMs.

You will collaborate with product and engineering to design experiments, benchmark models, and ensure robust, privacy-conscious AI features in production. This role is remote-friendly and impact-driven across core platform capabilities.

Qualifications

• 5+ years of software engineering experience, including production ML/LLM systems.
• Hands-on experience building LLM evaluation systems in production (golden datasets, judge calibration, offline/online evals).
• Strong experiment design and statistical rigor, including A/B testing and clear regression signals.
• Proven track record applying AI models to real product features.
• Experience with multiple LLMs, benchmarking, routing, and cost/latency/quality tradeoffs.

Responsibilities

• Design, build, and own ClickUp's AI evaluation system with golden datasets and automated scorers.
• Build and evolve the core agent harness and the AI that performs well on evals.
• Develop self-improvement loops where agents modify prompts and rerun evals automatically.
• Benchmark new models and own routing and fallback strategies across providers.
• Architect and implement scalable AI platform services for deployment and lifecycle management of LLMs.
• Build robust APIs and backend systems to integrate AI features into ClickUp.
• Develop infrastructure for model serving, monitoring, and logging for production reliability.
• Drive best practices in AI privacy, security, and regulatory adherence.
• Collaborate cross-functionally with product, frontend, and data teams.

Skills

LLM/ML systems

Backend engineering

Python

Go/TypeScript

Experiment design

Kubernetes

Docker

AWS

GCP

Azure

Tools

Kubernetes

Docker

AWS

GCP

Azure

Job description

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible.

We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality of ClickUp's AI: building the eval systems that tell us how well our AI is performing, the core agent harness, and the AI that performs well on those evals. You'll work on backend systems that make AI-powered capabilities scalable, reliable, and secure, while working hands-on with LLMs to solve real user problems and drive product innovation.

Key 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.

Qualifications:

• 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-functionally teams.

• Passion for staying at the forefront of AI and applying new technologies to solve real-world problems at scale.

Nice to Have:

• 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.

#LI-REMOTE

#LI-AK2
#LI-CC1

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.

Privacy Notice

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.

Visa Sponsorship

Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

AI Processing Notice

ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision-making. If you have questions or need an accommodation in the recruitment process, please contact us at [e-mail].