ClickUp Logo

ClickUp

Senior AI Engineer - AI Platform

Reposted 4 Days Ago
Remote or Hybrid
Hiring Remotely in United States of America
200K-250K Annually
Senior level
Remote or Hybrid
Hiring Remotely in United States of America
200K-250K Annually
Senior level
The Senior AI Engineer will design and implement scalable AI platforms, integrate LLMs, build robust APIs, and ensure reliable AI services, collaborating across teams.
The summary above was generated by AI

At ClickUp, we’re not just building software. We’re architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That’s why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you’ll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that’s redefining what’s possible! 🚀

Role Overview:

We are seeking a highly skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation.

Key Responsibilities:

  • Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models.

  • Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions.

  • Build and maintain robust APIs and backend systems that enable seamless integration of 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.

  • Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost.

  • Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence.

  • Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems.

  • Stay current with advancements in AI infrastructure, MLOps, and LLM applications, and proactively incorporate relevant innovations into ClickUp’s AI platform.

  • Collaborate cross-functionally with product, frontend, and data teams to deliver seamless, reliable, and user-centric AI experiences.

Qualifications:

  • Extensive experience designing and building scalable AI/ML platforms or infrastructure in a production environment.

  • Proven track record of applying LLMs and AI models to real-world product features and user-facing solutions.

  • Deep expertise in backend engineering, distributed systems, and cloud-native technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).

  • Proven experience integrating and managing multiple LLMs and AI models, with a strong understanding of their operational requirements and limitations.

  • Proficiency in orchestration frameworks and workflow engines (e.g., LangGraph, Airflow, Kubeflow, Ray, or similar).

  • Strong programming skills in Python, Go, TypeScript or similar languages used for backend and AI platform development.

  • Experience with MLOps best practices, including model deployment, monitoring, logging, and automated evaluation.

  • Demonstrated ability to address AI privacy and security challenges, including data anonymization and compliance with data protection regulations.

  • Familiarity with search 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 infrastructure and applying new technologies to solve real-world problems at scale.

#LI-REMOTE

#LI-AK2
#LI-CC1


Unsure if you meet all the qualifications of this job description but are deeply excited about the role? We hire based on ambition, grit, and a passion for improving the way people work. If you think ClickUp is the company for you, we encourage you to apply!

At ClickUp, we assess every candidate based on the potential impact they can have. We hire the best people for the job and support each person’s journey to build their boldest career.


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.

  • If you are a European Job Applicant, see our privacy policy for further details.

  • If you are a Philippine Job Applicant, see our privacy policy and 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.

Fraud Alert

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

Top Skills

Airflow
AWS
Azure
Docker
GCP
Go
Kubeflow
Kubernetes
Langgraph
Python
Ray
Typescript

Similar Jobs

12 Days Ago
Easy Apply
Remote
USA
Easy Apply
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Software Engineer will drive AI adoption at Coinbase, leading initiatives from ideation to production while collaborating across teams to implement AI automation solutions.
Top Skills: AIGenerative AiGoLangchainLanggraphLlmsPython
12 Days Ago
Remote
MI, USA
191K-262K Annually
Senior level
191K-262K Annually
Senior level
Artificial Intelligence • Machine Learning
The role involves leveraging AI technology to drive sales, enabling enterprise solutions and enhancing customer experiences through innovative AI applications.
Top Skills: AIEmotion AiGenerative AiKnowledge AiWorkflow Automation
3 Days Ago
Easy Apply
In-Office or Remote
Easy Apply
160K-235K Annually
Senior level
160K-235K Annually
Senior level
Big Data • Software
The Senior Machine Learning Engineer will lead ML projects from ideation to production, focusing on ranking and recommendation systems and collaborating with cross-functional teams for robust AI solutions.
Top Skills: Ci/CdGraph DatabasesMl FrameworksPythonPyTorchScikit-LearnVector Databases

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account