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Ai Software Engineer Jobs in Seattle, WA (NOW HIRING)

NICE

Principal AI Software Engineer

Seattle, WA · On-site

$153K - $206K/yr

Principal AI Software Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA · On-site

$137K - $180K/yr

We are now looking for a Senior Software Engineer for AI Resiliency! At NVIDIA, we are pushing the boundaries of what's possible in AI. We are currently seeking a Senior Software Engineer to lead the ...

NICE

Senior AI Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

We are looking for a Senior AI Software Engineer who thrives at the intersection of infrastructure, DevOps, and applied AI. In this role you will design and build intelligent automation systems that ...

Stoke Space

Senior AI Software Engineer

Kent, WA

$154K - $231K/yr

... software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently. As a Senior AI Engineer on the Boltline team, you will design, build, and ...

Stoke Space

Senior AI Software Engineer

Kent, WA · On-site +1

$154K - $231K/yr

... software platform that helps advanced hardware manufacturing teams integrate, track, iterate, build, and test efficiently. As a Senior AI Engineer on the Boltline team, you will design, build, and ...

SpaceXAI

Exceptional Software Engineer

Seattle, WA · On-site

Job Summary : xAI is on a mission to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. They are seeking an exceptional software engineer to ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$195K - $231K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infras.

MediaAlpha

Applied AI Software Engineer

Bellevue, WA · On-site

$170K - $260K/yr

Strong programming skills in Python, including software engineering methodologies and best practices. * Hands-on experience building LLM-powered features in production. * Experience with RAG ...

MediaAlpha

Applied AI Software Engineer

Bellevue, WA · On-site

$170K - $260K/yr

Strong programming skills in Python, including software engineering methodologies and best practices. * Hands-on experience building LLM-powered features in production. * Experience with RAG ...

Sobek AI, Inc

Software Engineer, Applied AI

Seattle, WA · On-site

$170K - $230K/yr

We're hiring a software engineer to help build the production systems behind Sobek's core offerings. The work sits where AI powered workflows meet backend services, enterprise data, observability ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will ...

NextHop AI

Software Engineer

Bellevue, WA · On-site

As an AI infrastructure startup, we are developing innovative systems to enable large-scale AI ... Participate in all parts of software engineering, ranging from design and implementation of ...

NextHop AI

Software Engineer

Bellevue, WA · On-site

As an AI infrastructure startup, we are developing innovative systems to enable large-scale AI ... Participate in all parts of software engineering, ranging from design and implementation of ...

Overland AI

Infrastructure Software Engineer

Seattle, WA · On-site

$120K - $200K/yr

About Overland AI Founded in 2022 and headquartered in Seattle, Washington, Overland AI is ... As an infrastructure software engineer, you'll design, build, the internal platforms, libraries ...

Okta

Senior Software Engineer, AI

Bellevue, WA · Remote

$138K - $182K/yr

The Opportunity As a Senior Software Engineer, Applied AI , you'll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This ...

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All JobsAi Software Engineer JobsAi Software Engineer Jobs in Seattle, WA

Ai Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do ai software engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ai software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 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 Seattle, WA? The most popular types of Ai Software Engineer jobs in Seattle, WA are:
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Ai Software Engineer jobs near you
Infographic showing various Ai Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $167,883 per year, or $80.7 per hour.

Principal AI Software Engineer

NICE

Seattle, WA • On-site

$153K - $206K/yr

Full-time

Re-posted 3 days ago

Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
Principal AI Software Engineer - Cloud AI Platforms
At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.
What's the role all about?
As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.
This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.
How will you make an impact?
  • Build and scale AI-driven workflows and automation systems
  • Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
  • Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
  • Work on LLM integrations, prompt engineering, and orchestration layers - streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
  • Build and maintain full-stack AI applications using TypeScript, React, and Next.js - from user dashboards and personalized experiences to real-time analytics and interactive tools
  • Translate real-world operational problems into automated, intelligent solutions
  • Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
  • Improve system performance, reliability, and observability
  • Build evaluation and observability systems - measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
  • Create reusable platforms and tools that accelerate development - component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities
  • Design and develop scalable backend systems for AI-powered platforms
  • Build and maintain AI integrations, workflows, and automation pipelines
  • Implement REST APIs, microservices, and event-driven architectures
  • Design and implement database schemas and queries for complex domains - tracking, engagement, reporting
  • Work with both structured and unstructured data for AI use cases
  • Contribute to CI/CD pipelines, testing, and deployment automation
  • Troubleshoot and optimize production systems
  • Collaborate with cross-functional teams to deliver high-quality solutions
  • Contribute to reusable frameworks and engineering best practices
  • Prototype fast - move from concept to working demo in days, ship incrementally

What we're looking for
  • 10+ years of software engineering experience, strong focus on full-stack web development
  • Expert in TypeScript and React - performance optimization, modern patterns (hooks, context, suspense), component architecture
  • Production experience with Next.js - App Router, Server Components, API routes, SSR/SSG, edge deployment
  • Hands-on experience with LLMs - prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
  • Experience with Vercel AI SDK - unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
  • Model Context Protocol (MCP) - building or consuming MCP servers for extensible AI tool use
  • Strong backend fundamentals - Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
  • Solid database design - PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
  • Experience building scalable, distributed systems in cloud environments (AWS / Azure)
  • Working knowledge of CI/CD, Docker, Kubernetes
  • Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
  • High agency - you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
  • Strong problem-solving and analytical skills
  • Ability to work in a fast-paced, evolving environment
  • Communicate effectively with both technical and non-technical stakeholders

Nice to have
  • Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
  • Experience with Vercel ecosystem - Next.js, AI SDK providers, Turbopack
  • Background in evaluation frameworks - measuring model capabilities, collecting human feedback at scale, A/B testing outputs
  • Experience with sandboxed execution environments for safely running AI-generated code
  • Built research tools, experimentation platforms, or scientific software
  • Proficiency with Python - FastAPI/Django, data pipelines, ML tooling
  • Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
  • Experience building automation or internal platforms
  • Familiarity with real-time features - WebSockets, streaming UX, collaborative interfaces
  • Knowledge of advanced web technologies - WebGL, WebAssembly, web workers, PWAs
  • Experience with alternate JS runtimes - Bun, Deno
  • Built open-source tools or platforms with active user communities
  • Strong quantitative foundation (math, physics, or related fields)

Representative Projects
Things you might build in this role:
  • Interfaces for collecting and managing human feedback on model outputs at scale
  • Experiment orchestration platforms - launch, monitor, and analyze complex AI research runs
  • Visualization tools that help understand model behavior and identify failure modes
  • Reusable components and frameworks that enable rapid development of new AI applications
  • Sandboxed execution environments for safely running AI-generated code
  • AI-powered personalization engines - tutoring, content generation, adaptive features
  • Workflow builders that let non-engineers orchestrate AI capabilities visually
  • Enterprise integrations - ServiceNow, Salesforce, Confluence, Jira

About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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