1

Assistant Ai Agent Developer Jobs in Oregon (NOW HIRING)

AI & Automation Engineer

Portland, OR · On-site

$90K - $120K/yr

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 ...

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 ...

$55.75 - $74.50/hr

... Vertex AI Agent Builder and Agent Engine) * Gemini APIs and other managed GenAI services (as ... What You'll Bring: * 5+ years of experience in cloud, platform, or DevOps engineering * Strong ...

Secure agent orchestration, tool execution, memory, and external integrations. * Identify and ... Promote secure AI engineering practices across the product organization. What We're Looking For:

OR

$179K - $231K/yr

As VP of Engineering, AI Innovations, you will lead the our team of talented software developers that are responsible for Five9's AI Insights, Agent Assist and GenAI Studio products. These products ...

$215K - $260K/yr

Position Summary AI Ops Engineering is the platform engineering team within the Value Creation Team ... You will own hands on implementation across the full stack, from agent architecture and ...

OR · On-site

$104K - $143K/yr

As a Senior AI Platform Engineer , you'll help build that platform end to end - the agents ... Agent Design & Orchestration Architect agents that don't just answer questions but do work ...

... agent orchestration where parallel agents handle implementation, testing, and documentation as ... AI coding assistants, context engineering, automated testing) Strong software engineering ...

Senior Engineer - Clarity

OR · On-site +1

$140K - $197K/yr

The organization is seeking a pragmatic developer who understands that the landscape of software ... the broader AI-agent ecosystem. * Full-Stack Architecture: Strong grasp of CS fundamentals ...

The Main Responsibilities AI Skills & Agent Development * Design and scale AI assistants, agents ... Engineering Knowledge & Automation * Connect AI solutions to trusted technical resources and ...

OR · On-site

$166K - $192K/yr

Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow * Build AI prototypes to ...

... and assistants, and early integrations - using approved tools, keeping humans in the loop, and ... Agent ecosystems: Experience building agent skills, MCP servers, or orchestration and automation ...

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop ... AI, or software engineering, with 1+ year hands-on in Workato. * Proven expertise with Enterprise ...

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 ...

New

OR · On-site

$126K - $166K/yr

It determines whether a package, container, or AI agent skill is safe to use-and sits between our ... You'll partner closely with Engineering and Product Security to define how organizations evaluate ...

New

OR

$179K - $231K/yr

Design multi-agent systems where specialized agents hand off to each other across workflow steps ... engineering, applied AI, or technical product roles, with a meaningful stretch spent hands-on and ...

OR · On-site

Principal AI Engineering Architect We're looking for a Principal AI Engineering Architect to lead ... Robots and pencils means engineering paired with creativity, because every agent we ship has to ...

Showing results 41-60

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:

AI & Automation Engineer

D.A. Davidson

Portland, OR • On-site

$90K - $120K/yr

Full-time

Re-posted 12 days ago


D.A. Davidson rating

7.9

Company rating: 7.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients’ financial well-being, we also work to strengthen local communities—and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.

Summary/Function:
We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
Qualifications:
• Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles.
• Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
• Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration.
• Cloud & AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
• DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes. 
• Problem-Solving & Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members.
• Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
 
Preferred Qualifications:
• Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio – for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot’s advanced features (custom actions, agent-to-agent workflows).
• Advanced AI & ML Skills: Familiarity with large language models beyond basic API usage – e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. 
• Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
• Security & Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
• Innovation & Leadership: Demonstrated initiative in previous roles – maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
• Lean and Agile background: Lots of experience working in highly-iterative development processes.  You understand the principles of them but aren’t married to any particular methodology.
• Patience: Somebody prepared to deal with the boring and the tough.  Every minute of every day in an AI role isn’t always deploying new models and agents.  An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day.
 
The following is required from all associates of D.A. Davidson Companies:
• Commitment to maintain client confidentiality and data security
• Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
• Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
• Ability to maintain regular, predictable attendance
 
Duties:
• Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making. 
• Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
• Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
• Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
• DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
• Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants’ effectiveness.
• Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
 
What do we offer:
Competitive salary plus excellent benefits and perks including, but not limited to:  
•Medical, Dental and Vision
•Company 401(k)and ESOP contribution 
•Generous sick, vacation, and maternity/parental leave
•Paid holidays
•Professional Development Opportunities
•Tuition Reimbursement ($15,000 lifetime cap)
•Discounted personal insurance including home, auto and recreational vehicles
•Charitable gift-matching program
•Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work.  
 
The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs. 
At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
ACKNOWLEDGMENT
Please answer all questions carefully.  By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson’s California Resident Privacy Policy.

What D.A. Davidson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom