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Software Developer Ai Trainer Jobs in Oregon (NOW HIRING)

Smarsh

Sr. Full-Stack Developer - AI-forward

OR · On-site +1

The ideal candidate blends deep full-stack development expertise with strong general software ... and training. Local cost of living assessments are done for each new hire at the time of offer ...

BECU

Software Developer

OR · On-site +1

$91K - $169K/yr

... education or training. Should an offer for employment be made, we will consider individual ... The Software Developer supports the delivery of new capabilities and enhancements within the core ...

Prodapt

Senior Software Developer

Portland, OR · On-site

$57.75 - $76.25/hr

... and training to ensure consistent implementation standards. * Drive adoption of AI assisted ... Software Developer, Technical Lead, or equivalent. * Prior experience must include 3 years of ...

Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

Principal Software Engineer, AI Location : Remote - US Clari + Salesloft are building the next era ... Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the ...

Tebra

Staff Software Engineer, AI Engineering

OR · On-site +1

This role combines deep software engineering expertise with hands-on experience building production AI systems. You will help transform how healthcare organizations manage billing, payments, claims ...

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Experience with Docker, Kubernetes, Git, CI/CD pipelines, and modern DevOps practices. * Strong ... Experience using AI coding assistants and autonomous agents as part of daily software development.

Leatherman Tool Brand

Applied AI Developer

Portland, OR · On-site

$150 - $200/hr

Position Summary Builds and ships software across the full spectrum of AI-enabled work at ... Production Engineering and Platform Integration * Keep AI workflows running well in production ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

Influence the design of next-generation hardware architectures, software, and programming models in ... Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing ...

Nvidia

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

Influence the design of next-generation hardware architectures, software, and programming models in ... Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing ...

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Software Developer Ai Trainer information

What is a software developer AI trainer?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What are the key skills and qualifications needed to thrive as a software developer AI trainer?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What types of projects do software developer AI trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Oregon?

The most popular types of Software Developer Ai Trainer jobs in Oregon are:

What are popular job titles related to Software Developer Ai Trainer jobs in Oregon?

For Software Developer Ai Trainer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Software Developer Ai Trainer jobs in Oregon look for?

The top searched job categories for Software Developer Ai Trainer jobs in Oregon are:

What cities in Oregon are hiring for Software Developer Ai Trainer jobs?

Cities in Oregon with the most Software Developer Ai Trainer job openings:

Software Developer Ai Trainer jobs near you
Infographic showing various Software Developer Ai Trainer job openings in Oregon as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr. Full-Stack Developer - AI-forward

OR • On-site, Remote

Smarsh
Software Development • 1 - 5K employees
Learn more about Smarshexternal

Full-time

Re-posted 4 days ago

Key responsibilities

  • Write production-quality code and design scalable platform capabilities.

  • Build, integrate, and support AI tooling, including Claude plugins and MCP servers, to enhance engineering workflows.

  • Develop and maintain integration systems, automation, and reusable platform components to improve team efficiency and ensure reliable deployment.

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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