Software Engineer AI Jobs in Seattle, WA
Software Engineer AI jobs in Seattle are in strong demand, concentrated in South Lake Union, the Eastside corridor, and Capitol Hill, across cloud computing, enterprise software, and consumer technology. Major openings are posted by Amazon, Amazon Web Services, and Airwallex and others active in the market right now. Scan the live roles below and apply to whichever ones fit.
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Company and benefits
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
***UKG is unable to offer sponsorship for this position.***
Software Engineer III – Agentic Acceleration Group
We are looking for a Software Engineer III to join our Agentic Acceleration Group and help build and scale agentic AI capabilities on Google’s Agent Development Kit (ADK) and other enterprise agentic platforms. This role provides an opportunity to contribute to cutting-edge agentic AI systems, intelligent automation workflows, and impactful software solutions used by enterprises and users worldwide. As a Software Engineer III, you will own the development of agent-powered features and projects, contribute to technical design decisions, and help establish modern agent development practices. You will be responsible for the design, development, testing, deployment, and maintenance of complex agentic systems built on established AI platforms, working collaboratively with product, architecture, and engineering partners.
Responsibilities
- Agent Development: Design, build, test, and deploy production-grade AI agents using Google ADK and other agentic platforms such as the Anthropic Claude SDK and LangGraph. Write clean, maintainable, and efficient code for agent workflows, tool integrations, and multi-agent orchestration.
- Platform Integration: Build agents that integrate with enterprise systems through tools, APIs, and Model Context Protocol (MCP) servers. Implement custom tools, skills, and plugins that extend agent capabilities across UKG’s HCM platform.
- Feature and Project Delivery: Own execution and delivery of agent-powered features and projects, working with product management and engineering partners to clarify requirements, manage priorities and timelines, and deliver high-quality results.
- Technical Design: Participate in design reviews with peers, architects, and stakeholders. Contribute to the design of complex agentic systems and applications, including multi-agent coordination patterns, task delegation workflows, and agent communication protocols, with attention to performance, scalability, reliability, and maintainability.
- Code Review and Engineering Practices: Review code developed by other engineers, provide constructive feedback, and help maintain a high bar for technical excellence, including clean coding practices, appropriate design patterns, unit testing, and observability built from the ground up.
- Service Health and Quality: Maintain the health and quality of agent-powered services by proactively identifying and addressing issues. Use service health indicators, agent performance metrics such as task success rates, latency, and cost, and telemetry to recommend improvements. Conduct root cause analysis for agent failures and help implement measures to prevent recurrence.
- Agent Operations: Support agent deployment, monitoring, and lifecycle management. Apply practices for agent versioning, cost monitoring, performance optimization, and iterative improvement. Build observability into agent workflows, including execution tracing, decision logging, and failure analysis.
- Testing and Evaluation: Build testable agents and agentic systems; define and automate tests using appropriate frameworks. Apply agent-specific testing strategies, including prompt validation, agent evaluation, multi-step workflow testing, tool invocation testing, tool validation, and adversarial scenario testing.
- DevOps Model: Take ownership across the software lifecycle—from collaborating with product management on requirements through design, development, testing, deployment, and maintenance of software in production.
- Documentation and Knowledge Sharing: Document new features, enhancements, fixes, agent behaviors, and operational procedures. Share knowledge with teammates and contribute to training materials and team practices.
- Mentorship and Collaboration: Collaborate effectively across engineering and product teams and provide technical guidance to less-experienced engineers on agent development, tool integrations, testing, observability, and agent safety practices.
- Innovation: Stay current with emerging agentic AI technologies and platforms—including Google ADK, Anthropic Claude SDK, LangGraph, AutoGen, and CrewAI—and evaluate or adopt new capabilities, integrations, and orchestration patterns where they improve productivity, quality, or customer value.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 4+ years of professional software development experience, with hands-on experience building LLM-powered applications or agentic AI systems.
- Deep expertise in one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
- Experience building or contributing to production applications using platforms such as Google ADK, Anthropic Claude SDK, LangChain, LangGraph, or similar agentic frameworks.
- Understanding of agent orchestration patterns, tool-use architectures, prompt and context engineering, and agent design patterns such as ReAct and multi-agent collaboration.
- Experience integrating software or agents with enterprise systems through APIs, tools, and protocols such as REST APIs, MCP, and function calling.
- Experience with software architecture and design patterns, including the ability to contribute to scalable, reliable agentic systems in a DevOps model.
- Experience delivering complex software features or projects and working effectively with product, architecture, and engineering stakeholders.
- Proficiency with cloud technologies such as GCP (including Vertex AI and Google ADK), Azure (including Azure OpenAI), or AWS (including Bedrock), and version control systems such as GitHub.
- Strong problem-solving skills, attention to detail, and commitment to delivering high-quality agent-powered solutions.
- Experience building telemetry and observability for software or agentic systems, including execution tracing, decision logging, cost monitoring, or success-rate tracking.
- Strong communication and interpersonal skills, with the ability to explain technical concepts, collaborate in a team environment, and incorporate feedback into design and implementation decisions.
Preferred Qualifications:
- Experience with agent evaluation frameworks, prompt testing, tool validation, or adversarial testing.
- Familiarity with CI/CD pipelines, automated testing, and production observability tools.
- Knowledge of agile software development methodologies.
- Familiarity with developing accessible technologies.
- Dedicated to diversity and inclusion initiatives.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com
The pay range for this position is $102,000 to $169,107.50. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job inter
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
See All 95 Software Engineer AI Jobs in Seattle
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Find Software Engineer AI JobsSoftware Engineer AI Job Market in Seattle
Who's Hiring
- Amazon25

- Amazon Web Services16

- Airwallex7

- Blue Origin7

- UKG5

Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Retail
- Aerospace & Defense
- Distribution & Wholesale
Software Engineer AI Jobs in Seattle: Frequently Asked Questions
How do I get a software engineer ai job in Seattle?
Focus your search on Seattle's cloud infrastructure, enterprise software, and AI research sectors, where software engineer ai hiring is most active. South Lake Union and the Eastside corridor around Bellevue and Redmond concentrate the highest volume of openings. Candidates with hands-on experience in large language models, ML pipelines, or distributed systems stand out in this market. Targeting mid-size startups alongside major tech employers broadens your options significantly.
Which companies hire software engineer ais in Seattle?
Seattle software engineer ai roles are posted by Amazon, Amazon Web Services, and Airwallex and others right now, based on current listings on Migrate Mate as of September 2026. Seattle's employer mix runs from global technology giants and cloud platform companies to well-funded AI startups, giving candidates a range of team sizes and technical environments to target.
Are there remote software engineer ai jobs in Seattle?
Yes, though availability depends on the role's focus, with model development and research positions often fully remote while systems integration and on-site lab work typically require in-person presence. About 75% of software engineer ai openings tied to Seattle are remote or hybrid as of September 2026, reflecting how distributed many Seattle tech teams already operate. Inference optimization and data pipeline work tend to be the most remote-friendly specialties among local postings.
How can I get a software engineer ai job in Seattle with little or no experience?
The most realistic entry path in Seattle is contributing to open-source AI projects or completing a structured ML engineering program and then targeting junior AI engineer or machine learning associate roles at mid-size Seattle startups, which hire more entry-level talent than the largest tech employers. University spin-outs and AI research labs affiliated with the University of Washington also offer research assistant and junior engineer positions that build direct credentials. A portfolio of deployed projects, even small ones, carries significant weight with Seattle hiring managers.
Which industries hire the most software engineer ais in Seattle?
Most software engineer ai openings in Seattle sit in Technology & Software, Banking & Financial Services, and Retail, per current listings on Migrate Mate as of September 2026. Seattle's role as a global hub for cloud infrastructure and enterprise software means those sectors consistently generate the highest volume of AI engineering demand, with healthcare technology adding a growing share as local health systems invest in applied AI tools.
Related Jobs in Washington
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