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Assistant Ai Agent Developer Jobs in Oregon (NOW HIRING)

OR · On-site

... AI agent development Potential Career Pathways This program is intended to help participants strengthen skills relevant to emerging AI-related roles such as: AI Automation Engineer Agentic AI ...

Own the AI CS agent corpus: structure and synthesize rotating engineer inputs weekly, prune and ... Highly fluent with AI tools in daily workflow - uses AI assistants, automation, and emerging ...

$200K - $315K/yr

Lead end-to-end delivery of AI agent implementations using Vista's Agentic Factory methodology ... Due Diligence * Assist in the due diligence process for potential portfolio companies, assessing AI ...

Operate as part of the AI Platform leadership team. Set direction alongside peer leaders across the ... Credibility in a relevant open-source ecosystem (agent frameworks, runtimes, or developer tooling)

Implement asynchronous task processing systems for handling long-running AI agent operations. * Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Product Engineer

Tualatin, OR · Hybrid

$84.93/hr

Job Title: Product Engineer Location: Tualatin, OR Employment Type: Contract Industry ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

OR · Hybrid

$125K - $153K/yr

Job Summary We're looking for creative thinkers with hands-on experience in Agentforce, AI agent ... You will develop technical documentation, be part of our DevOps maintenance crew and peer review ...

Own designing and running evaluations and A/B tests of AI Agents with Forward-Deployed Engineers (FDEs) using Cresta's agent builder and beta internal tools * Improve our playbooks for agent ...

OR · On-site

$126K - $166K/yr

Define the product roadmap and strategic direction for AI innovations within the Agent Assist ... Partner closely with Engineering, Data Science, and Product Design to navigate complex data ...

Build Portable AI "Agent Skills" across popular AI platforms. * AI Integration: Assist in ... Solid programming foundation with experience in backend development, specifically C# and .NET.

Senior Applied AI Engineer

OR · Remote

$122K - $161K/yr

... developer productivity. * Evaluate emerging LLMs, multimodal models, agent frameworks, and AI ... Experience with using AI coding assistants as part of your daily workflow. * Familiarity with REST ...

Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models ... Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access ...

This role will focus on building intelligent assistants and automated workflows using tools like ... Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI ...

Showing results 21-40

Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an assistant AI agent developer?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an assistant AI agent developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an assistant AI agent developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
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 are popular job titles related to Assistant Ai Agent Developer jobs in Oregon? For Assistant Ai Agent Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Assistant Ai Agent Developer jobs in Oregon look for? The top searched job categories for Assistant Ai Agent Developer jobs in Oregon are:
What cities in Oregon are hiring for Assistant Ai Agent Developer jobs? Cities in Oregon with the most Assistant Ai Agent Developer job openings:

Build Real AI Automation Tools with Agentic AI

Sapsol Technologies Inc

OR • On-site

Full-time

Re-posted 20 days ago


Job description

Launch Your Career in Agentic AI - Build Real AI Tools in Just 8 Weeks!

MLC College TraceSecure Present

Agentic AI Project Experience & Build Program (8 Weeks)

A structured hands-on learning and project experience program designed for developers, IT professionals, students, and AI enthusiasts interested in building modern AI automation workflows and intelligent AI agents using real-world tools and APIs.

Program Structure

Phase 1: Agentic AI Workflow Development with n8n (Weeks 1-4)

Learn how modern AI automation systems and AI agents are designed using industry-relevant tools and integrations.

Participants will gain exposure to:
n8n AI workflow automation
Gemini AI models
LinkedIn API integrations
Lusha-based enrichment workflows
SerpAPI search automation
AI-driven workflow orchestration
Agentic AI concepts and practical implementations

Phase 2: AI Project Build & Deployment (Weeks 5-8)

Participants will work on building an end-to-end AI project and gain exposure to deployment workflows within the TraceSecure innovation environment.

By the end of the program, participants may have:
A portfolio-oriented AI project
Hands-on AI workflow experience
Exposure to real-world AI automation concepts
Practical understanding of AI agent development

Potential Career Pathways

This program is intended to help participants strengthen skills relevant to emerging AI-related roles such as:
AI Automation Engineer
Agentic AI Developer
AI Workflow Engineer
AI Integration Specialist
Prompt Engineering Associate
Automation Consultant
AI Product Builder
LLM Application Developer

Who May Benefit from This Program

Software Developers
IT Professionals
Automation Engineers
Students exploring AI technologies
AI & Data Enthusiasts
Professionals interested in AI workflow automation

Why Join This Program?

Hands-on exposure to Agentic AI workflows
Practical AI automation projects
Exposure to APIs, LLMs, and workflow orchestration
Portfolio-oriented project experience
Structured mentor-guided learning environment

To Learn More

Send your updated resume/profile to:
sushma@sapsol.com

Selected participants will be contacted with additional program details and next steps.

Limited cohort size to support interactive learning.