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# Staff AI Engineer – AI Product

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/clickup.md)Share6 Sep 2026Published29Listing views2Application actions6 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryClickUp is seeking a Staff AI Engineer to build and operate user-facing AI product features for its converged productivity workspace. The role leads LLM integration and orchestration, prototypes and evaluates AI experiences, and ensures scalable, reliable production deployment. It requires substantial backend or full-stack expertise alongside databases, Elasticsearch, observability, AI privacy, security, and compliance knowledge. The engineer will partner closely with product and design, influence technical and product direction, and mentor other engineers. This is a senior, product-oriented engineering role focused on delivering measurable user and business value from AI.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis staff-level role combines advanced LLM product engineering, multi-model orchestration, production reliability, evaluation design, and responsible-AI requirements. Success also depends on independently shaping solutions and influencing cross-functional stakeholders and engineers.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$275,000US market range$220k–$320k0$352k

AI insightThe disclosed annual base compensation range is USD 250,000 to USD 300,000, with a midpoint of USD 275,000. For a US-based Staff AI Engineer building production LLM products, an estimated US market range is USD 220,000 to USD 320,000 annually; total compensation may be higher depending on equity and bonus programs.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[LLM integration](https://jobicy.com/jobs?search_keywords=LLM%20integration.md)[AI product engineering](https://jobicy.com/jobs?search_keywords=AI%20product%20engineering.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[JavaScript/TypeScript](https://jobicy.com/jobs?search_keywords=JavaScriptTypeScript.md)[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Full-stack development](https://jobicy.com/jobs?search_keywords=Full-stack%20development.md)[PostgreSQL](https://jobicy.com/jobs?search_keywords=PostgreSQL.md)[MySQL](https://jobicy.com/jobs?search_keywords=MySQL.md)[Elasticsearch](https://jobicy.com/jobs?search_keywords=Elasticsearch.md)[Observability and logging](https://jobicy.com/jobs?search_keywords=Observability%20and%20logging.md)

Sample interview questionsDescribe an AI-powered product feature you took from concept to production. How did you measure its success?I would explain the user problem, the model and system architecture, and how I partnered with product and design. I would describe offline quality measures, production telemetry, user-feedback loops, guardrails, and the business or user outcomes used to guide iteration.

How would you design an orchestration layer that uses multiple LLMs and AI models for a context-aware productivity feature?

I would define model responsibilities, a shared context and retrieval strategy, structured interfaces, routing and fallback rules, and latency and cost budgets. I would include tracing, versioning, evaluation datasets, and safety controls so each model interaction is observable and continuously testable.

What evaluation framework would you implement for a user-facing LLM feature?

I would combine curated offline test sets with automated checks for correctness, groundedness, safety, format adherence, latency, and cost. In production, I would monitor task completion, acceptance or edit rates, user feedback, failure patterns, and controlled experiments against a baseline.

How do you address privacy, security, and compliance risks when shipping AI features?

I would apply data minimization, access controls, encryption, retention policies, redaction where appropriate, and clear boundaries on what data can reach external models. I would also perform threat modeling for prompt injection and data leakage, maintain auditability, and work with legal and security teams on applicable requirements.

How do you balance rapid AI prototyping with production reliability?

I would separate experimentation from production paths, establish explicit launch criteria, and use feature flags and staged rollouts. Before broad release, I would validate quality, load behavior, failure handling, monitoring, and rollback mechanisms while preserving a fast feedback loop with users.

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. 🚀

Role Overview:

We are seeking a highly skilled Staff AI Engineer – AI Product to join our ClickUp Engineering team. In this role, you will drive the development of intelligent, user-facing features that leverage the latest advancements in AI and large language models (LLMs). You will work closely with product, design, and engineering teams to deliver seamless, impactful AI-powered experiences that delight our users and differentiate ClickUp in the productivity space. This is a product-focused engineering role requiring deep expertise in AI, LLMs, and building scalable, production-ready applications.

Key Responsibilities:

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Lead the design, development, and deployment of AI-powered features and products that directly impact ClickUp users.

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Collaborate with product managers, designers, and engineers to identify opportunities for AI-driven innovation and translate user needs into technical solutions.

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Integrate and orchestrate multiple LLMs and AI models to deliver robust, context-aware, and personalized user experiences.

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Prototype, test, and iterate on new AI features, leveraging user feedback and data to drive continuous improvement.

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Ensure the reliability, scalability, and performance of AI-powered features in production environments.

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Stay at the forefront of AI research and product trends, incorporating the latest advancements into ClickUp’s product roadmap.

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Address AI privacy, security, and compliance challenges, ensuring responsible and ethical use of AI in user-facing applications.

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Mentor and guide other engineers in best practices for building AI-powered products.

Qualifications:

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Proven experience building and shipping AI-powered features or products in a production environment.

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Deep understanding of LLMs and AI models, including their strengths, limitations, and integration strategies.

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Experience working with orchestration frameworks and integrating multiple AI models to deliver cohesive user experiences.

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Experience developing evaluation frameworks and metrics for AI features, with a focus on user impact and business value.

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Familiarity with AI privacy, security, and compliance best practices.

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5+ years of backend and/or full-stack engineering experience, with proficiency in Python, JavaScript/TypeScript, or similar languages.

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5+ years of experience with PostgresDB, MySQL, or other related DBs.

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5+ years of experience with Elasticsearch or other related technologies.

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Experience setting up production-ready observability and logging.

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Demonstrated ability to collaborate cross-functionally and translate product requirements into technical solutions.

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Passion for staying updated with the latest AI research and applying it to solve real-world user problems.

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Excellent communication and mentorship skills, with a track record of influencing product direction and engineering best practices.

#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.](https://clickup.com/careers-terms/candidate-privacy-notice)

If you are a Philippine Job Applicant, please also see our [Philippine Data Privacy Notice](https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open) 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.

Fraud Alert

ClickUp Talent Acquisition will only initiate contact via an @[clickup.com](http://clickup.com) email or through our official careers portal on [clickup.com](http://clickup.com). We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.

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 AskPeople@ClickUp.com.

Show more

[Apply now >](https://jobicy.com/jobs/152640-staff-ai-engineer-ai-product.md)

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