1

Ai Software Engineer Jobs in Oregon (NOW HIRING)

This role is ideal for an experienced software engineer who has shipped AI-powered features in production and is ready to take full ownership of feature delivery, including performance, reliability ...

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance ...

Master's degree in software engineering, Computer Engineering, Information Technology, or related ... Join Intel and be part of a mission to lead the AI revolution. Innovate with us and shape the ...

Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

... engineers. Key Exciting Responsibilities Are you ready to lead a technical team at the absolute forefront of the AI revolution in enterprise software? As the Development Manager, you will be the key ...

OR

$172K - $204K/yr

... AI revolution, building the software and systems that power the world's most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking ...

OR

$122K - $161K/yr

... AI revolution, building the software and systems that power the world's most advanced large language model workloads. We are looking for a Senior Software Engineer to lead the bring-up, triage ...

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

As a Sr. AI Software Engineer, you'll play a key role in bringing advanced AI capabilities into applications that matter. You'll design and optimize scalable, secure, and maintainable software ...

OR · On-site

About the Role The Revenue Cycle Management (RCM) team is seeking a Staff Software Engineer to lead the design, development, and adoption of AI-native capabilities across our billing and revenue ...

Senior Software Engineer FullStack (AI Apps)

OR · On-site +1

$122K - $161K/yr

Role Summary As one of the early Senior Software Engineers at Near AI you'll be a key member of the team from day one. We have lots to do and we prefer to give our engineers great latitude and ...

OR

$122K - $161K/yr

Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to ... Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field. * 3+ ...

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 of enterprise revenue - one where teams make confident decisions powered by AI and real signals. By ...

Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... software for AI or accelerators, including execution environments, profiling, debugging, and ...

next page

Showing results 1-20

Ai Software Engineer information

See Oregon salary details

$67.1K

$156K

$217.3K

How much do ai software engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for ai software engineer in Oregon is $155,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $182,900.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI software engineer or AI research director, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized certifications, and may include responsibilities like leading projects or developing innovative AI solutions in competitive industries.

What are the typical day-to-day responsibilities of an AI Software Engineer?

AI Software Engineers typically spend their days designing, building, and optimizing machine learning models, writing code to support AI system integration, and analyzing large data sets for training algorithms. They frequently collaborate with data scientists, product managers, and other software engineers to align technical solutions with business goals. Regular responsibilities also include reviewing code, troubleshooting model performance, and staying up-to-date on the latest research in artificial intelligence. This role often involves a mix of independent technical work and team-based project collaboration, providing variety and opportunities for skill growth.

Which 5 jobs will survive AI?

AI Software Engineers are likely to continue thriving as they develop, maintain, and improve AI systems, requiring advanced programming skills and understanding of machine learning. Other roles expected to persist include healthcare professionals like doctors and nurses, skilled trades such as electricians and plumbers, educators, and creative professions like writers and artists, as these jobs involve complex human interaction, creativity, and specialized knowledge that are difficult for AI to fully replicate.

What do AI software engineers do?

AI software engineers develop, implement, and maintain artificial intelligence models and algorithms, often working with machine learning frameworks and programming languages like Python or TensorFlow. They analyze data, optimize models, and collaborate with cross-functional teams to integrate AI solutions into products or systems.

What are the key skills and qualifications needed to thrive in the Ai Software Engineer position, and why are they important?

To thrive as an AI Software Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often backed by a relevant degree and experience with programming languages like Python or C++. Familiarity with frameworks such as TensorFlow or PyTorch, and experience deploying models in cloud environments or obtaining certifications in AI/ML, are highly valued. Strong problem-solving abilities, communication, and teamwork are important soft skills to bridge technical gaps and collaborate effectively. These skills and qualities enable the design, development, and deployment of effective AI solutions in dynamic, results-driven environments.

What does an AI Software Engineer do?

An AI Software Engineer designs, develops, and maintains software applications that incorporate artificial intelligence and machine learning technologies. They work with algorithms, data models, and programming languages such as Python, TensorFlow, and PyTorch to build intelligent systems. Their responsibilities include data preprocessing, model training, optimization, and deployment. Additionally, they collaborate with data scientists and software engineers to integrate AI solutions into real-world applications.

What engineer makes $500,000 a year?

Senior AI software engineers with extensive experience, advanced skills in machine learning, and expertise in deep learning frameworks can earn salaries of $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such compensation often includes base salary, bonuses, and stock options.
What are the most commonly searched types of Ai Software Engineer jobs in Oregon? The most popular types of Ai Software Engineer jobs in Oregon are:
What are popular job titles related to Ai Software Engineer jobs in Oregon? For Ai Software Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Software Engineer jobs? Cities in Oregon with the most Ai Software Engineer job openings:
Infographic showing various Ai Software Engineer job openings in Oregon as of July 2026, with employment types broken down into 76% Full Time, 6% Part Time, 6% Temporary, and 12% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $155,975 per year, or $75 per hour.
AI Software Developer

Other

Re-posted 3 days ago


Job description

We are building the next generation of intelligent enterprise software—platforms that think, adapt, and automate alongside the people who use them. Our AI & Business Intelligence team delivers conversational assistants, intelligent search, data-driven agents, predictive analytics, and workflow automation that transform how businesses operate.

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI-driven workflows, building reliable backend services and applications that directly impact enterprise customers.

This role is ideal for an experienced software engineer who has shipped AI-powered features in production and is ready to take full ownership of feature delivery, including performance, reliability, and cost efficiency. We are looking for candidates who are practical, collaborative, and comfortable making sound engineering trade-offs in real production environments.

Responsibilities:

  • Design and deliver AI-powered product features end-to-end, from requirements and solution design through implementation, testing, deployment, and post-release optimization.
  • Build and maintain retrieval-augmented generation (RAG) workflows that ground LLM responses in enterprise data, including application-side retrieval design, response grounding, and retrieval tuning.
  • Implement application and backend services that integrate large language models and AI services into enterprise products through well-designed APIs and service boundaries.
  • Develop AI-assisted workflows and agent-style automations that interact safely with enterprise data, product capabilities, and external systems.
  • Create and maintain automated tests, evaluation practices, monitoring, and operational runbooks for AI-enabled features so reliability is designed in from the start.
  • Analyze production behavior, user feedback, and telemetry to improve answer quality, latency, reliability, and cost efficiency. Make and communicate trade-offs between model quality, latency, and cost.
  • Collaborate with product, UX, data, QA, and platform teams to define use cases, acceptance criteria, evaluation methods, and rollout plans.
  • Contribute to engineering standards through code reviews, technical design discussions, and shared best practices focused on testing, observability, security, and performance.

What Success Looks Like

  • Owns AI-powered features end-to-end in production, from implementation through post-release improvement.
  • Uses telemetry, user feedback, and evidence to improve answer quality, latency, reliability, and cost efficiency.
  • Makes sound trade-offs between quality, latency, and cost, and can clearly explain those decisions to technical and non-technical stakeholders.
  • Delivers reliable, well-tested features with appropriate monitoring, evaluation, and operational readiness.
  • Collaborates effectively across engineering, product, UX, data, QA, and platform partners to ship high-quality releases.