Agentic AI Engineer

Zoom Communications, Inc.; Washington; Ibrido; USD 177.000 - 388.000; Tempo pieno

Descrizione del lavoro

Zoom Communications, Inc. is seeking a senior engineer to design and evolve the Zoommate agent harness, delivering end-to-end infrastructure for agent-scale applications.

The role requires hands-on work from design to production, with a focus on orchestration, memory management, and tool integration across Zoom’s product suite. You will build reusable frameworks, design APIs/SDKs, and run rigorous evaluations to ensure quality and cost efficiency.

Competenze

• 5+ years of industry experience building production software and/or ML systems.
• Fluency in Python and one of Java, Go, or TypeScript.
• 2+ years of API/SDK development experience.
• Experience with agent frameworks and orchestration tools (LangGraph, LangChain, AutoGen, or equivalent).
• Experience with LLM post-training/fine-tuning, reinforcement learning, or building agent evaluation frameworks.
• Familiarity with large-scale engineering platforms and their tooling.
• Excellent communication skills and collaborative mindset.

Mansioni

• Design, build, and evolve the Zoommate agent harness, including orchestration, tool invocation, sandboxing, memory and state management, and multi-step reasoning loops.
• Architect the underlying agent framework and API/SDK surface for minimal integration cost.
• Build and integrate tool-use and interoperability layers across Zoom’s ecosystem and third-party apps.
• Design and run evaluations and benchmarks for agent quality across reasoning, tool-use, latency, and cost.
• Own the full lifecycle of services you build, including design docs, code review, deployment, monitoring, and on-call.
• Partner with product teams to turn integration pain points into shared infrastructure improvements.

Conoscenze

Production software

Python

Java/Go/TypeScript

API/SDK development

Agent frameworks

LLM evaluation

Communication skills

Strumenti

LangGraph

LangChain

AutoGen

RAG pipelines

Vector databases

Descrizione del lavoro

What You Can Expect

This role sits at the core of Zoommate’s agent mission, building the harness, including runtime, orchestration, tool-use, memory, and evaluation layers, that every downstream agent product depends on. You will shape the shared infrastructure that multiplies leverage across all of Zoom’s product teams, working hands-on from design to production. Joining a lean, high-engineering-density team means short decision paths, end-to-end ownership, and the opportunity to blur the lines between agent infrastructure, applied research, and product integration. This is a hybrid position that requires on-site presence 4 days per week at our Seattle, WA office. Remote arrangements are not available for this role.

About the Team

The Zoommate team is a lean, high-performance group that owns agent outcomes end-to-end, from the first design doc to production across Zoom’s product suite. We operate with high engineering density and short decision paths, blurring the lines between agent infrastructure, applied research, and product integration. We hire for depth across backgrounds, whether backend engineering, research engineering, or applied science, and we ship bigger things with a smaller, sharper crew.

Responsibilities

• Design, build, and evolve the Zoommate agent harness, including orchestration, tool invocation, sandboxing, memory and state management, context management, and multi-step reasoning loops that other teams build on top of.
• Architect the underlying agent framework and API/SDK surface so Zoom product teams can embed Zoommate Agent capabilities with minimal integration cost.
• Build and integrate tool-use and interoperability layers, including MCP-style connectors and agent-to-agent patterns, so agents can act across Zoom’s ecosystem and third-party apps.
• Design and run evaluations and benchmarks for agent quality across reasoning, tool-use success, latency, and cost, and use findings to drive continuous iteration.
• Own the full lifecycle of services you build, including design docs, code review, deployment, monitoring, and on-call, with production-grade reliability at Zoom scale.
• Partner closely with product teams to turn real integration pain points into better shared infrastructure rather than one-off fixes.
• Integrate with Zoom’s engineering platforms, leveraging internal tooling to accelerate delivery.
• Apply AI coding agents as first-class teammates in your daily workflow and bring that intuition into how you design tools for agents.

What We’re Looking For

• 5+ years of industry experience building production software and/or ML systems, with hands-on experience delivering agentic systems using LLMs (tool use, planning and reasoning, memory, orchestration, or multi-agent coordination).
• Strong programming fundamentals across data structures, algorithms, concurrency, and system design; fluency in Python and comfort with at least one of Java, Go, or TypeScript.
• 2+ years of API/SDK development experience (REST, gRPC, or similar) with demonstrated ability to design infrastructure other teams build on.
• Experience with agent frameworks and orchestration tools (LangGraph, LangChain, AutoGen, or equivalent), RAG pipelines, or vector databases.
• Experience with LLM post-training/fine-tuning, reinforcement learning, or building rigorous agent evaluation frameworks.
• Familiarity with large-scale engineering platforms and their tooling.
• Excellent communication skills, a collaborative and ownership-driven mindset, and the ability to translate real integration pain points into shared infrastructure improvements.

Salary Range or On Target Earnings:

Minimum:

$177,100.00

Maximum:

$387,500.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

10/21/26

Ways of Working

Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits

As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us

Zoomies help people stay connected so they can get more done together.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind.
Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.