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Assistant Ai Agent Developer Jobs in Oregon (NOW HIRING)

The AI Agent Developer is responsible for building, deploying, and supporting AI agents and automation workflows that help teams across Vertech work more efficiently. They design and optimize prompts ...

Senior Forward Deployed Engineer (AI Agent)

OR · On-site +1

$104K - $143K/yr

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve ... Cloud & DevOps: Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD ...

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

AI Agent Design & Development * Design and build AI-driven virtual agents that automate customer service workflows across digital and voice channels. * Develop intelligent automation using the NiCE ...

In this role, you'll partner with Forward Deployed Engineers (FDEs) who will support the build, integrations and optimization to make the AI Agent product successful. You'll also work closely with ...

Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models. * Collaborate with cross-functional teams including frontend engineers ...

OR · On-site

Partner with Agent Product Managers and Agent Engineers to scope, build, and ship conversational AI agents that handle thousands of customer conversations a day * Design, build, and iteratively ...

Senior Product Marketing Manager - Agent Empowerment

OR · Remote

$120K - $158K/yr

Five9 Agent Assist - Real-time, LLM-powered guidance, next-best actions, and coaching that help agents resolve issues faster and with greater confidence * Five9 AI Knowledge - Contextual, AI-driven ...

You'll have full ownership of the entire AI agent lifecycle, steering projects from early pilot ... Startup founder or early engineer experience is highly valued, you understand the tradeoffs between ...

Senior Software Engineer FullStack (AI Apps)

OR · On-site +1

$122K - $161K/yr

... owned open-source AI assistant - and the models, agent network, and privacy-preserving ... Make thoughtful decisions about user and developer experience details without constant PM or design ...

Build and maintain a data catalog and onboarding guides for teams adopting the agentic platform. DevOps and Reliability for AI Agent Systems Define and track SLIs/SLOs for task completion reliability ...

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 ...

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 ...

OR

$466K - $750K/yr

... grade AI agent without reinventing the wheel. We own the foundational building blocks the whole ... Rapidly iterate with users to improve the developer experience while establishing durable ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

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 ...

Staff AI Engineer

OR · Remote

$145K - $210K/yr

Our team builds an AI agent that assists users in building Unqork applications, and we're looking ... Experience with agent frameworks or developer kits (e.g. ADK) and the broader LLM tooling ecosystem.

Staff AI Engineer

OR · Remote

$145K - $210K/yr

Our team builds an AI agent that assists users in building Unqork applications, and we're looking ... Experience with agent frameworks or developer kits (e.g. ADK) and the broader LLM tooling ecosystem.

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Assistant Ai Agent Developer information

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

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 cities in Oregon are hiring for Assistant Ai Agent Developer jobs? Cities in Oregon with the most Assistant Ai Agent Developer job openings:
AI Agent Developer

Full-time

This job post has expired today. Applications are no longer accepted.


Job description


The AI Agent Developer is responsible for building, deploying, and supporting AI agents and automation workflows that help teams across Vertech work more efficiently. They design and optimize prompts, tools, memory strategies, and agent workflows for business-specific use cases, and partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to translate business needs into practical AI solutions. The developer curates the knowledge base that AI agents draw from, monitors agent performance, and continuously improves reliability, accuracy, and business impact.
Primary Duties and Responsibilities
  • Build AI agents, copilots, and workflow automations for business-specific use cases.
  • Design, test, and optimize prompts, tools, memory strategies, and agent workflows.
  • Partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to gather requirements and translate them into technical specifications.
  • Curate and update the knowledge base (“knowledge scaffolding”) that AI agents use to ensure responses remain accurate and compliant with company policy.
  • Refine input queries and prompts to optimize model behavior for specific business use cases.
  • Troubleshoot technical issues, diagnose and resolve bugs in AI models, and resolve integration issues with existing SaaS platforms.
  • Monitor agent performance and identify patterns in failure modes (e.g., unexpected tone shifts, drops in resolution quality).
  • Develop testing and evaluation processes to measure agent reliability, response quality, and business impact.
  • Integrate AI systems with APIs, SaaS platforms, databases, and internal business systems.
  • Lead workshops and create documentation to help non-technical staff adopt new AI features effectively.
  • Collaborate with vendors on solution design and technical requirements for contracted work.
  • Other duties as assigned.

Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; or 4 years of related experience.
  • Relevant internship, research, freelance, project, or professional experience developing AI solutions or automation workflows.
  • Hands-on experience with AI tools, including agent development and support.
  • Technical fluency in programming languages such as Python, SQL, or Java for diagnosing complex API or data issues.
  • Experience with AI providers and LLMs such as Claude, ChatGPT, or Gemini.
  • Familiarity with AI agent orchestration frameworks, workflow automation platforms (e.g., n8n, Make, Zapier), retrieval augmented generation (RAG), and vector database concepts.
  • Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred.
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint).

Skills and Abilities
  • Demonstrated curiosity and experimentation with emerging AI technologies; personal projects, GitHub repositories, hackathons, or portfolio work encouraged.
  • Strong problem-solving and troubleshooting skills.
  • Excellent organizational and planning skills.
  • Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences.
  • Ability to work collaboratively across departments.