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Entry Level Ai Agent Developer Jobs in Portland, OR

Grapevine Round1 AI

Software Engineer

Beaverton, OR · On-site

$85 - $105/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 ...

Acara Solutions

Equipment Engineer

Portland, OR · On-site

$85K - $115K/yr

Equipment Engineer Location: Portland OR Employment Type: Full-Time Direct Hire with comprehensive ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Intel

Sr. AI Software Engineer - Agent Harness

Hillsboro, OR · On-site

$133K - $175K/yr

This is core product engineering on an agent framework comparable to well know AI models, but built ... Built developer tooling, CLIs, or IDE-adjacent products * Familiarity with sandboxing ...

Acara Solutions

Process Technician 2

Tualatin, OR · On-site

$25.89/hr

In this role, you'll work closely with Process Engineers to prepare chemical baths, process wafers ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Acara Solutions

Process Technician 3

Tualatin, OR · On-site

$38.32/hr

As a Process Technician 3, you'll work closely with engineers to execute process tests, support new ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Corvel

Senior Software Engineer

Portland, OR · Remote

$97K - $163K/yr

Exposure to Azure DevOps * Object oriented programming principals * Must be self-directed ... Azure Functions * Experience using Copilot (or another AI Agent) as part of the development ...

Corvel

Senior Software Engineer

Portland, OR · On-site

$97K - $163K/yr

Exposure to Azure DevOps * Object oriented programming principals * Must be self-directed ... Azure Functions * Experience using Copilot (or another AI Agent) as part of the development ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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 Portland, OR?

The most popular types of Ai Agent Developer jobs in Portland, OR are:

What are popular job titles related to Entry Level Ai Agent Developer jobs in Portland, OR?

For Entry Level Ai Agent Developer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Agent Developer jobs in Portland, OR look for?

The top searched job categories for Entry Level Ai Agent Developer jobs in Portland, OR are:

Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in Portland, OR as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Gresham, OR • On-site

$20 - $30/hr

Full-time

Posted 2 days ago

New

Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.

Apply