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Entry Level Ai Agent Developer Jobs in Seattle, WA

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Entry Level Ai Agent Developer information

What is an entry level AI agent developer?

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 does an entry level AI agent developer do?

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 are the key skills and qualifications needed to thrive as an entry level AI agent developer?

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 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:

What cities near Seattle, WA are hiring for Entry Level Ai Agent Developer jobs?

Cities near Seattle, WA with the most Entry Level Ai Agent Developer job openings:

Infographic showing various Entry Level Ai Agent Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 88% In-person, and 12% Remote job distribution.

Fullstack Agentic AI developers

Redmond, WA • On-site

Tech Tammina LLC
IT Services • 201 - 500 employees

Contractor

Re-posted 22 days ago


Job description

Fullstack Agentic AI developers

Location: Redmond, WA (Hybrid)

Your Primary Focus

  • Monitor & Detect: Set up telemetry to watch system health (QoS). Use ML to spot anomalies and trigger automatic alerts.
  • Build the Agent: Use Semantic Kernel or Azure AI Foundry to build an AI Agent that can "think" and execute technical fixes (Auto-Remediation).
  • Legal Guardrails: Ensure the Agent uses RAG and MCP to check Microsoft’s legal and compliance rules before taking any action.

Skills We’re Looking For

  • Agentic AI: Experience building AI that does things, not just talks (using Semantic Kernel or AI Foundry).
  • Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol).
  • Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection.
  • Tech Analysis: A "detective" mindset—the ability to look at complex systems and figure out how to automate a fix.
  • Prior working experience with Microsoft and Microsoft AI tools, Copilot, AI Foundry, Github Copilot.