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# Senior AI Engineer – Multi-Agent Frameworks

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/clickup.md)Share6 Sep 2026Published46Listing views5Application actions6 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryClickUp is hiring a senior backend-oriented AI engineer for its AI Platform team to build multi-agent frameworks and orchestration capabilities. The role centers on integrating multiple LLM providers, designing scalable agent workflows with tools such as LangGraph, and enabling coordinated multi-agent behavior. Responsibilities also include building rigorous AI evaluation systems, integrating search, and addressing privacy, anonymization, and data-protection requirements. The engineer will partner closely with product, design, and frontend teams to deliver an effective agent-building experience. This is a high-impact senior engineering position requiring strong technical judgment and current applied-AI expertise.

## 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

4/5IndependentCollaborative

AI insightThe role requires deep, current expertise across LLM orchestration, distributed multi-agent systems, evaluation methodology, search integration, and privacy-sensitive engineering. Ambiguous technical problems and an evolving AI ecosystem demand independent architectural decisions and rapid learning.

## Salary analysis

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

Estimated job medianHighly competitive$225,000US market range$180k–$260k0$286k

AI insightThe disclosed yearly base compensation range is USD 200,000–250,000, with a midpoint of USD 225,000. For a senior US-based AI/platform engineering role specializing in LLM and multi-agent systems, a representative US market base-salary range is approximately USD 180,000–260,000 annually; equity, bonus, and benefits may be additional where offered.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Large Language Models](https://jobicy.com/jobs?search_keywords=Large%20Language%20Models.md)[Multi-Agent Systems](https://jobicy.com/jobs?search_keywords=Multi-Agent%20Systems.md)[LangGraph](https://jobicy.com/jobs?search_keywords=LangGraph.md)[AI Orchestration](https://jobicy.com/jobs?search_keywords=AI%20Orchestration.md)[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[AI Evaluation](https://jobicy.com/jobs?search_keywords=AI%20Evaluation.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Search Integration](https://jobicy.com/jobs?search_keywords=Search%20Integration.md)[AI Privacy](https://jobicy.com/jobs?search_keywords=AI%20Privacy.md)[Data Protection](https://jobicy.com/jobs?search_keywords=Data%20Protection.md)

Sample interview questionsHow would you architect a platform that supports reliable coordination among multiple AI agents?I would define clear agent roles, typed input and output contracts, shared-state and message-passing patterns, and explicit workflow graphs. I would add guardrails for tool permissions, timeouts, retries, idempotency, observability, and human escalation so that coordination remains reliable as complexity grows.

How do you evaluate a multi-agent system beyond measuring the output of an individual model?

I would create scenario-based evaluations that measure task success, handoff quality, tool-use accuracy, latency, cost, safety, and failure recovery at both agent and system levels. I would combine curated golden datasets, adversarial cases, simulation, automated regression testing, and human review for ambiguous or high-impact outcomes.

What factors guide your choice among LLM providers and models for an agent workflow?

I assess capability on the target task, context capacity, structured-output reliability, latency, cost, availability, data-handling requirements, and vendor-lock-in risk. I use an abstraction layer and benchmark representative workloads so models can be selected or routed dynamically based on quality, risk, and operational constraints.

How would you handle privacy and sensitive data in an AI-agent platform?

I would apply data minimization, tenant isolation, role-based access controls, encryption, retention controls, audit logs, and strict tool-scoping. Before sending data to models or retrieval systems, I would use classification and redaction where appropriate, document data flows, and ensure the design supports applicable consent and deletion requirements.

Describe how you would integrate search into an AI agent system.

I would build a retrieval layer that indexes authorized content with strong metadata and permission filtering, then use hybrid lexical and vector retrieval with reranking where valuable. The agent should receive grounded, cited context, while telemetry tracks retrieval quality, answer faithfulness, and cases where the system should ask a clarifying question rather than infer an answer.

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 skilled and experienced Senior AI Engineer – Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software.

Key Responsibilities:

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Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.

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Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.

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Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.

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Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics.

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Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration.

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Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems.

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Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications.

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Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access.

Qualifications:

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Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations.

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Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows.

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Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments.

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Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering.

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Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies.

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Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance.

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Experience with search technologies and their integration into AI systems.

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Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.

#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/152627-senior-ai-engineer-multi-agent-frameworks.md)

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