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Ai Chat Jobs in Oregon (NOW HIRING)

Apply and advance our AI-SDLC methodology, using AI chat and coding tools as a core part of the development lifecycle - including Claude, ChatGPT, and open-source alternatives. * Build and maintain ...

Experience with Conversational AI, contact center platforms, or voice/chat automation technologies * Demonstrated ability to make complex AI concepts accessible, translating technical depth into ...

Experience with Conversational AI, contact center platforms, or voice/chat automation technologies * Demonstrated ability to make complex AI concepts accessible, translating technical depth into ...

... chat experiences, and content repositories. Establish production practices for agentic systems ... A BS, MS, or PhD in Computer Science, AI/ML, Electrical Engineering, Data Science, a related ...

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to ... chat! What You'll Do * Take ownership of the full software development lifecycle, including ...

... Web Chat, Direct Line) - Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy Travel Requirements Up to 20% Job ...

Cursor Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of Cursor AI-powered code editor features including intelligent code completion, natural language code generation, codebase-aware context, multi-file editing, inline chat, terminal ...

Cursor Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of Cursor AI-powered code editor features including intelligent code completion, natural language code generation, codebase-aware context, multi-file editing, inline chat, terminal ...

Cursor Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of Cursor AI-powered code editor features including intelligent code completion, natural language code generation, codebase-aware context, multi-file editing, inline chat, terminal ...

Customer Engineer

OR · On-site +1

... edge AI solutions to enterprise contact centers. You'll leverage your expertise in CX, call center infrastructure, chat platforms, AWS, and automation while collaborating closely with Solution ...

Bilingual Customer Experience Specialist

OR · On-site +1

$17 - $22/hr

Handle live customer contacts (phone, chat, and/or email) for up to 100% of your scheduled time ... Comfort working with AI-assisted tools and willingness to adopt new technologies that enhance ...

Senior Manager, Web Technology | US | Remote

OR · On-site +1

$113K - $156K/yr

Experience building AI-enabled web experiences, agent-ready content systems, personalization, chat experiences, or LLM-optimized websites. * What success looks like: * Predictable, high-confidence ...

Familiarity with omnichannel engagement, digital customer service, messaging, social, voice, chat, or related customer interaction platforms. * Experience using AI-enabled tools to improve ...

Omnichannel Routing (voice, chat, email, messaging) * Knowledge Management & Self-Service ... Automation & AI Enablement * Drive adoption of automation and AI capabilities within the support ...

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Showing results 1-20

Ai Chat information

What is an ai chat?

An AI Chat job involves managing, developing, or interacting with AI-powered chatbots to enhance customer support, engagement, or automation. This role can include programming chatbots, training AI models, analyzing user interactions, and improving chatbot responses. Depending on the position, it may require technical skills like natural language processing (NLP) or customer service expertise. AI Chat professionals work in various industries, including e-commerce, healthcare, and tech support, to streamline communication and improve user experiences.

What are the key skills and qualifications needed to thrive in the ai chat position, and why are they important?

To thrive as an AI Chat Specialist, strong written communication, critical thinking, and problem-solving abilities are essential, often supported by familiarity with AI platforms and customer service experience. Proficiency with popular chat tools, CRM systems, and potentially certifications in areas like chatbot management or conversational AI are commonly expected. Active listening, patience, and adaptability are important soft skills for handling a diverse range of inquiries and maintaining positive user interactions. These competencies enable effective, efficient, and user-friendly support while ensuring high satisfaction and engagement with AI-powered chat systems.

What are common challenges faced by ai chat specialists, and how are they addressed?

AI Chat Specialists often encounter challenges such as handling complex or sensitive customer queries and ensuring accurate, timely responses within fast-paced digital environments. To address these challenges, specialists leverage thorough training in company policies, access to comprehensive knowledge bases, and collaboration with technical teams to resolve escalated issues. Regular feedback sessions and performance analytics help improve response quality and customer experience. Being able to adapt quickly to new tools and updates is also crucial for ongoing success in this role.

Is training AI chatbots a real job?

Yes, training AI chatbots is a legitimate job that involves developing, fine-tuning, and improving conversational AI systems. It often requires skills in machine learning, natural language processing, and data annotation, and can be found in tech companies, research labs, and AI startups.

What cities in Oregon are hiring for Ai Chat jobs?

Cities in Oregon with the most Ai Chat job openings:

Infographic showing various Ai Chat job openings in Oregon as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution.

Sr. Full-Stack Developer - AI-forward

Smarsh

OR • On-site, Remote

Full-time

Re-posted 27 days ago


Job description

We are seeking a Senior Full-stack Engineer to join our Engineering & Integration (E&I) team. The ideal candidate blends deep full-stack development expertise with strong general software engineering skills, experience developing in Salesforce environments, and a commitment to harnessing AI-augmented development and other cutting-edge technologies to address complex business challenges.

This is an engineering role first. You will write production-quality code, design scalable platform capabilities, and set the technical standard for how the team builds. Our primary tools and languages span Salesforce, MuleSoft, AWS and other cloud services, Python, and front-end development.

Our team operates at the bleeding edge of IT. We function as a combined Product and Engineering team under the IT umbrella, rewriting the build-vs-buy ratio that IT organizations have lived under for decades - building custom, in-house solutions to problems that are normally reserved for purchased SaaS. We hold ourselves to a high standard of excellence in every product we build and maintain.

Central to this role is our AI-SDLC methodology - an AI-native software development lifecycle in which we utilize a variety of AI models in conjunction with AI coding tools as a core part of how we design, build, test, and ship software. We expect you to be fluent with these tools, to stay invested in the rapidly evolving AI landscape, and to actively bring the best of it into the team's day-to-day work.

This role is an integral part of the E&I Engineering Team, collaborating closely with Operations, Finance, Accounting, Sales, Support, Implementation, Product, Engineering, and key stakeholders from other functional units to develop and sustain the processes and data that support Smarsh's diverse business needs. The team is entrusted with conceiving, implementing, testing, maintaining, and optimizing software solutions that align with the organization's objectives.

Essential Functions
AI-SDLC & Engineering Tooling
  • Apply and advance our AI-SDLC methodology, using AI chat and coding tools as a core part of the development lifecycle - including Claude, ChatGPT, and open-source alternatives.
  • Build and maintain Claude plugins and related tooling that extend AI capabilities into the team's engineering workflows.
  • Build, integrate, and support MCP (Model Context Protocol) servers that connect AI tooling to the team's systems and data.
  • Stay invested in and current with the AI market landscape, continuously evaluating new and best-in-class tools and identifying practical ways to implement them in the team's day-to-day work.
  • Establish patterns and guardrails for safe, effective, and consistent AI-assisted development across the team.
Platform Engineering & Reusable Capabilities
  • Deliver reusable platform capabilities such as unlocked packages, shared Apex and LWC libraries, custom metadata frameworks, and CPQ configuration patterns that reduce duplication, enforce consistency, and accelerate team velocity.
  • Design scalable solutions using Salesforce DX, platform events, custom metadata types, and cloud-specific best practices, creating the "paved path" that domain teams follow to build reliable, governed features.
  • Write production-quality Apex, Lightning Web Components, and integration code. You are expected to contribute directly to the most complex and high-stakes engineering work, not just review it.
  • Develop and maintain integration systems and tooling outside of Salesforce, including REST and SOAP APIs, MuleSoft, and ETL tools.
  • Build services and automation in Python or another object-oriented language where it is the right tool for the job.
Architecture, Code Quality & Delivery
  • Conduct architecture reviews, solution design sessions, and code reviews for complex implementations across Apex, LWC, Flow, and CPQ, identifying opportunities for shared patterns and platform libraries.
  • Apply general software engineering and cloud development best practices, designing, building, and operating solutions on AWS and other cloud services.
  • Build and maintain CI/CD pipelines using Salesforce DX, Gearset, GitHub, and other industry-standard tools, implementing automated testing strategies, schema validation, and deployment automation that reduce friction and enable safe, frequent releases.
  • Conduct and participate in code reviews in GitHub, providing and receiving constructive feedback to continuously raise the quality bar.
  • Manage and support sandbox and production environments across the enterprise to ensure successful development, testing, and deployment of new features and functionality.
  • Maintain version control and branch hygiene, and ensure code coverage through unit testing.
  • Investigate and resolve bugs and production issues autonomously.
  • Keep abreast of Salesforce releases and effectively leverage relevant updates; support all releases and maintain system uptime in accordance with SLAs.
  • Log and track work in a structured ticketing system (Jira).
Leadership, Mentorship & Collaboration
  • Mentor and coach engineers across teams on Salesforce development, CPQ configuration, architectural patterns, and engineering best practices, raising the technical bar organization-wide.
  • Collaborate cross-functionally with teams across the entire organization to translate business requirements into scalable platform capabilities.
  • Influence the technology roadmap by identifying strategic technical investments, managing technical debt, and aligning platform capabilities with business growth objectives.
  • Establish yourself as a primary point of contact for your area of expertise, actively seeking clarification when necessary.
Education and Experience
  • 10+ years of professional software engineering experience, with at least 5 years focused on the Salesforce platform in complex, multi-cloud enterprise environments.
  • Advanced programming skills in Apex and SOQL/SOSL.
  • Competence in Lightning Web Components, HTML, JavaScript, and CSS.
  • Proficiency in Python or another object-oriented programming language.
  • Experience with the MuleSoft Integration Platform and DataWeave.
  • Experience with AWS and cloud development.
  • Demonstrated fluency with AI chat and coding tools (e.g., Claude, ChatGPT, and open-source alternatives) as part of an AI-first development workflow.
  • Experience building and maintaining Claude plugins (or comparable AI tooling/extensions).
  • Experience utilizing and supporting MCP servers.
  • A genuine, ongoing investment in the AI market landscape - staying current on new and best-in-class tools and a track record of bringing them into team workflows.
  • Experience working on a traditional engineering team in close partnership with Product.
  • Proficiency in REST and SOAP APIs.
  • Proficiency in modern software design and architecture.
  • Salesforce Administrator and Salesforce Developer / Platform Developer certifications.
  • Experience with DevOps and CI/CD pipelines - GitHub and Gearset.
  • Strong analytical, design, and problem-solving skills.
  • Ability to gather and document business requirements effectively.
  • Outstanding verbal and written communication skills, with the ability to collaborate effectively within cross-functional teams.
Additional Eligibility Qualifications
  • Experience with distributed systems and enterprise-level integrations.
  • Experience with container-based and serverless architectures, including Docker, Kubernetes, and related orchestration tools.
  • Experience with general-purpose languages and frameworks beyond the Salesforce ecosystem (Go, Ruby, JavaScript/Vue.js, Node.js) and cloud-native development on AWS (Lambda, ECS, Fargate, CodePipeline).
  • Salesforce Platform Developer II certification.
  • Experience with Salesforce CPQ and Billing.
  • Experience implementing Salesforce Experience Cloud.
  • Working knowledge of additional high-level programming languages (C#, Java, Go, Ruby, etc.).
  • Bachelor's degree in Computer Science, Business, or Information Systems.
$147,000 - $167,000 a year
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
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