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Junior Ai Agent Developer Jobs in Oregon (NOW HIRING)

Allocate dedicated capacity to agent builds - contributing directly to the development of AI agents ... Mentor other engineers on data engineering, MCP patterns, and agent-native design principles. What ...

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over ... Improve CI/CD, testing, observability, reliability, security, and developer experience. * Create ...

Staff AI Cloud Engineer

OR · On-site +1

$180K - $225K/yr

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over ... Improve CI/CD, testing, observability, reliability, security, and developer experience. * Create ...

Microsoft Azure - Azure AI Foundry, Azure OpenAI, Functions, Data Factory, API Management, Key Vault, Entra ID, DevOps * Agent & LLM Tooling: Claude (Agent SDK, Claude Code, MCP), Microsoft 365 ...

Forward Deployed Engineer, Agentic AI About the Role Redapt is building dedicated capacity to ... Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that ...

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

You'll build multi-agent architectures, LLM integrations, and backend services that connect AI ... in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI ...

... browser developer tools, plus basic scripting ability (Python/JavaScript) to support AI-assisted prototyping ("vibe coding") beyond no-code tooling * Familiarity with MCP, A2A and multi-agent ...

Experience with AI Agent tools & frameworks Experience building and integrating MCP tools Experience building Agentic experiences and AI Automation Strong backend engineering experience building and ...

Fullstack AI Engineer

OR · On-site +1

$117K - $147K/yr

Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over ... About this Position We are looking for a Fullstack AI Engineer who is passionate about building ...

Applied AI Engineer

OR · On-site +1

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and ... AI agent, LLM-powered workflow, or intelligent automation system end-to-end - from prototype ...

Applied AI Engineer

OR · On-site +1

... AI agent, LLM-powered workflow, or intelligent automation system end-to-end - from prototype ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Applied AI Engineer

OR · On-site +1

... AI agent, LLM-powered workflow, or intelligent automation system end-to-end - from prototype ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Software Engineer

Beaverton, OR · On-site

$80 - $100/hr

Install TAL for a 24/7 AI agent that keeps finding roles personalised for you.Apply nowInstall ... Master's degree in CS, Engineering, CIS, or Mathematics* 1 year of experience in the job offered or ...

Showing results 21-40

Junior Ai Agent Developer information

What does a junior AI agent developer do?

A Junior AI Agent Developer assists in designing, developing, and testing intelligent software agents that can perform tasks autonomously or interact with users. They typically work under the supervision of senior developers, contributing to coding, debugging, and integrating AI algorithms into applications. Their responsibilities may also include data preprocessing, model training, and monitoring agent performance. Junior developers often collaborate with team members to learn best practices and improve their technical skills in AI development.

What are the key skills and qualifications needed to thrive as a junior AI agent developer?

To thrive as a Junior AI Agent Developer, you need a solid background in programming (especially Python), foundational knowledge of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using version control systems (e.g., Git), and understanding APIs are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and learn rapidly in a dynamic field. These skills ensure you can contribute to developing, testing, and refining AI agents that perform reliably and efficiently.

What are some typical challenges faced by junior AI agent developers when working on real-world projects?

Junior AI Agent Developers often encounter challenges such as adapting to rapidly evolving AI frameworks, integrating agent models with existing software systems, and debugging complex machine learning pipelines. Additionally, collaborating effectively with data scientists, backend engineers, and product managers requires strong communication skills and a willingness to learn from more experienced colleagues. Overcoming these challenges provides valuable learning experiences and helps build a solid foundation for career advancement in AI development.

What is the difference between Junior Ai Agent Developer vs AI Software Engineer?

AspectJunior Ai Agent DeveloperAI Software Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, AI, or related; advanced certifications
Work EnvironmentStart-up, tech companies, AI labs; collaborative teamsTech firms, research institutions; more complex projects
Employer & Industry UsageAI startups, tech companies, industries adopting AILarge tech firms, R&D departments, AI-focused companies
Common Search & ComparisonYesNo

The Junior Ai Agent Developer typically focuses on developing and implementing AI agents under supervision, while an AI Software Engineer handles more complex AI system design, optimization, and integration. The roles differ mainly in experience level and project complexity, with the AI Software Engineer requiring more advanced skills and experience.

What are the most commonly searched types of Ai Agent Developer jobs in Oregon?

The most popular types of Ai Agent Developer jobs in Oregon are:

What job categories do people searching Junior Ai Agent Developer jobs in Oregon look for?

The top searched job categories for Junior Ai Agent Developer jobs in Oregon are:

What cities in Oregon are hiring for Junior Ai Agent Developer jobs?

Cities in Oregon with the most Junior Ai Agent Developer job openings:

Infographic showing various Junior Ai Agent Developer job openings in Oregon as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

AI Automation Engineer, Security

Nvidia

OR • On-site, Remote

Full-time

Posted 10 days ago


Key responsibilities

  • Allocate dedicated capacity to develop AI agents that support security programs, including certifications, risk, and compliance.

  • Build, maintain, and optimize infrastructure, data pipelines, and MCP integrations to support agent workflows and ensure data security and governance.

  • Collaborate with team members to translate business needs into data-driven, agent-ready solutions and monitor and resolve issues with data infrastructure and agents.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

What if you could create autonomous AI tools that redefine how security works at one of the most innovative companies in the world. The NVIDIA Office of the Chief Security Officer is looking for an AI and Automation Engineer to help us create something new - an AI-native, agent-enabled security organization built from the ground up. As part of the Assurance Engineering team, you'll partner domain experts who will help you understand the problem space while you bring the engineering skills to solve it.

You'll also collaborate across the broader CSO organization to design and build the agent infrastructure, data pipelines, and MCP integrations that make it all real. If you love building intelligent systems and want to see them make a real impact, this is the role for you. What you'll be doing: Allocate dedicated capacity to agent builds - contributing directly to the development of AI agents that support our security programs, including certifications, risk, and compliance.

Build and maintain infrastructure to support agent workflows, including retrieval, context delivery, and agent-to-agent coordination patterns. Partner with team members to translate business needs into data-driven, agent-ready solutions that reduce manual effort and improve decision velocity. Architect and implement MCP pattern integrations that enable security agents to interact with data systems, tools, and APIs in a structured, scalable way.

Own the design, deployment, and maintenance of ETL and agentic data pipelines to ingest, transform, and serve data from multiple sources into our data lakehouse and downstream agent consumers. Ensure data security, privacy, and governance are implemented across all pipelines and agent-accessible data surfaces. Continuously monitor, optimize, and resolve issues with data infrastructure, pipelines, and agents for efficiency, accuracy, speed, and scalability in support of real-time agent workloads.

Mentor other engineers on data engineering, MCP patterns, and agent-native design principles. What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field (or equivalent experience). 8+ years of working experience in Automation Engineering and Data Engineering.

Proficiency with Python, Go, C++, or other relevant languages. Experience working and building production workflows with AI, agents, and MCPs. Familiarity with Claude Code, Codex, Cursor, or similar tools.

An ability to ramp quickly on the use and implementation of new AI tools and MCP patterns. Prior experience with AWS, Terraform, Airflow, and Databricks or equivalent large-scale data platforms. Strong ownership, self-sufficiency, and ability to lead in agile, fast-moving environments.

Proven ability to deliver high-impact, large-scale projects with minimal direction. Excellent verbal and written communication skills. Ways to stand out from the crowd: Direct experience building or supporting AI agent pipelines in a security, compliance, or enterprise operations context.

Familiarity with NVIDIA's AI stack and a genuine passion to build security programs on top of it. Previous background in Information Security or Cybersecurity. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 168,000 USD - 270,250 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 28, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US