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Entry Level Ai Agent Developer information

What are Entry Level AI Agent Developers?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

What are the key skills and qualifications needed to thrive as an Entry Level AI Agent Developer, and why are they important?

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What are some typical projects or tasks an Entry Level AI Agent Developer can expect to work on during their first year?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

What are the most commonly searched types of Ai Agent Developer jobs in Seattle, WA? The most popular types of Ai Agent Developer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Ai Agent Developer jobs in Seattle, WA? For Entry Level Ai Agent Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in Seattle, WA look for? The top searched job categories for Entry Level Ai Agent Developer jobs in Seattle, WA are:
Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in Seattle, WA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
AI Agent Engineer

AI Agent Engineer

Zoom Video Communications, Inc.

Seattle, WA • On-site

$387K/yr

Full-time

Posted 28 days ago

Job description

What you can expect
We are seeking an innovative and product-driven AI Agent Engineer to design, build, and operationalize autonomous AI agents. In this role, you will go beyond traditional chatbot development to create intelligent systems capable of multi-step reasoning, dynamic tool use, and goal-oriented problem solving. You will bridge the gap between advanced Large Language Models (LLMs) and real-world business systems, building agents that safely and reliably automate complex enterprise tasks.
About the Team
Our GenAI Engineering Team builds AI Companions that help people communicate and collaborate better. We apply the latest AI technology to make communication platforms faster and more productive.
Responsibilities
  • Designing robust agentic architectures, multi-agent systems, and orchestration logic, including core services for runtime, memory, state, tool invocation, sandboxing, and lifecycle management.
  • Building automated evaluation harnesses and observability pipelines to measure and monitor agent accuracy, reasoning capability, latency, and operational cost, ensuring consistent performance in production.
  • Implementing operational guardrails, error handling, human-in-the-loop fallback mechanisms, and access controls to ensure safe, predictable, and compliant agent behavior.
  • Optimizing agent infrastructure for low latency, high throughput, and reliability at scale, collaborating with infrastructure teams for efficient resource utilization and cost management.
  • Partnering with product managers, data scientists, and UX designers to translate workflows into seamless AI-native experiences, shaping strategic planning and technical roadmaps.

What we're looking for
  • Demonstrate expertise in Python, Go, TypeScript, or similar languages, applying software engineering principles to build AI agent systems and multi-agent orchestration frameworks.
  • Have expertise in LLM and agent mechanisms, including LLM API, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi-Agent systems. Exhibit proficiency in Prompt, Context, and Harness Engineering.
  • Demonstrate with AI coding tools (Claude Code, Cursor, Copilot), secondary development and strong grasp of LLM-based reasoning and autonomous agent patterns.
  • Possess experienced in cloud-native AI infrastructure (Kubernetes, vector databases, model serving) and passionate about building intelligent systems that augment human capability and drive impact.
  • Have Bachelor's in Computer Science, AI, ML, Cognitive Science, or equivalent practical experience.

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.
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 set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
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.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
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.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
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.

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