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Java Ai Developer Jobs in Federal Way, WA (NOW HIRING)

F5, Inc.

Principal AI Engineer

Seattle, WA · On-site

$153.60K - $206K/yr

Developer Enablement & Technical Leadership * Support engineering teams adopting Gemini Code ... Go, Java, or TypeScript. * Production experience with LLM-based systems, including prompt ...

Okta

Staff Software Engineer, AI

Bellevue, WA · On-site

The Global AI Engineering Team At Okta, you'll be part of a unified global AI engineering team that ... Java, Node.js, or Go). * A strong commitment to building accessible (a11y) and inclusive user ...

Outlier AI

AI Workflow Engineer (Remote)

Seattle, WA · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and ...

Visa

Staff Software Engineer

Bellevue, WA · On-site

Generative AI & Developer Productivity: * Apply context engineering techniques, including use of ... with Core Java and RESTful web service development. • 3+ years of experience with Spring ...

Visa

Staff Software Engineer

Bellevue, WA · Hybrid

Generative AI & Developer Productivity: * Applycontext engineering techniques, including use ... Core Java and RESTful web service development. 3+ years of experience with Spring Framework ...

Visa

Staff Software Engineer

Bellevue, WA · Hybrid

Generative AI & Developer Productivity: * Applycontext engineering techniques, including use ... Core Java and RESTful web service development. 3+ years of experience with Spring Framework ...

Palnar

Sr. Cloud Engineer@ Seattle, WA

Seattle, WA · On-site

$63.50 - $84.75/hr

Java development experience (Spring Boot or similar frameworks). * Exposure to Generative AI engineering tools and frameworks (Azure OpenAI, Vertex AI, AWS Bedrock). * Experience working in ...

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How much do java ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for java ai developer in Federal Way, WA is $63.32, according to ZipRecruiter salary data. Most workers in this role earn between $54.76 and $70.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in Federal Way, WA as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $131,698 per year, or $63.3 per hour.
Principal AI Engineer

Principal AI Engineer

F5, Inc.

Seattle, WA • On-site

$153.60K - $206K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
Role Summary
F5 Digital is building an enterprise-scale Agentic AI platform to enable secure, observable, and production-grade AI agents across the organization. We are seeking a Principal Software Development Engineer to serve as the technical authority and hands-on architect for high-code agent development, orchestration frameworks, and enterprise AI integration during the Gemini rollout.
This is a deeply technical individual contributor role. The Principal Engineer will design and implement scalable agentic systems, establish engineering standards for AI workflows, and enable engineering teams to build production-ready agents using Gemini, Vertex AI, and internal AI infrastructure.
The ideal candidate has strong distributed systems expertise, deep familiarity with LLM architectures and agent frameworks, and the ability to translate AI theory into secure, production-grade implementations.
Key Responsibilities:
Agentic Architecture & Orchestration
  • Design and implement enterprise-grade agent orchestration frameworks supporting tool use, memory, RAG, agentic workflows and automation.
  • Establish patterns for multi-agent collaboration, event-driven execution, and workflow chaining across enterprise systems.
  • Define standards for agent lifecycle management, state persistence, and context engineering.

Gemini & Vertex AI Integration
  • Lead technical integration of Gemini models via Vertex AI, ensuring secure, scalable API consumption and proper model routing.
  • Develop internal SDKs, abstractions, and reusable components to standardize Gemini usage across F5 teams.
  • Optimize prompt engineering, token efficiency, grounding strategies, and structured output patterns.

High-Code Agent Enablement
  • Build reference implementations and reusable frameworks for high-code agents in Java, Python, Go, or TypeScript.
  • Establish secure integration patterns for agents interacting with Salesforce, Snowflake, SharePoint, ServiceNow, and internal APIs.
  • Drive best practices for MCP (Model Context Protocol) server development and secure API mediation.

Observability, Safety & Governance
  • Implement logging, tracing, telemetry, and evaluation pipelines for agent performance and reliability.
  • Establish guardrails including input/output validation, hallucination mitigation, prompt injection defenses, and policy enforcement.
  • Partner with Security to ensure secure data handling, RBAC enforcement, and compliance alignment.

Developer Enablement & Technical Leadership
  • Support engineering teams adopting Gemini Code Assist, CLI workflows, and internal AI development platforms.
  • Create technical documentation, internal libraries, and code samples for no-code, low-code, and pro-code agent builders.
  • Provide architectural review and guidance for AI-enabled applications across F5.

Performance & Scalability
  • Optimize inference latency, parallelization, and cost management strategies across agent workflows.
  • Implement caching strategies, streaming responses, and batching techniques to improve throughput and reliability.
  • Evaluate and benchmark agent/model performance across different workloads.

Required Qualifications
  • 10+ years of experience in software engineering, with significant experience in distributed systems and backend architecture.
  • Deep hands-on coding expertise in Python and at least one of: Go, Java, or TypeScript.
  • Production experience with LLM-based systems, including prompt engineering, tool calling, RAG, embeddings, and agent frameworks.
  • Experience with Vertex AI, Gemini APIs, OpenAI APIs, or similar enterprise AI platforms.
  • Strong understanding of API design, microservices, Kubernetes, and cloud-native architectures.
  • Experience building or integrating orchestration frameworks (e.g., LangChain, LlamaIndex, custom orchestration layers).
  • Familiarity with vector databases, embedding pipelines, and retrieval strategies.
  • Strong understanding of authentication, authorization, and enterprise security patterns.
  • Proven ability to build reusable platforms, not point solutions.

Preferred Qualifications
  • Experience building multi-agent systems or autonomous workflow engines.
  • Experience with model evaluation pipelines and AI quality metrics.
  • Familiarity with structured output enforcement (JSON schemas, function calling).
  • Experience working with enterprise data systems such as Snowflake, Salesforce, ServiceNow, SharePoint.
  • Knowledge of cost modeling and inference optimization techniques.
  • Experience contributing to internal developer platforms or SDK ecosystems.
  • Background in AI safety, red-teaming, or model robustness evaluation.

What Success Looks Like:
A successful Principal Software Development Engineer in this role will:
  • Deliver a secure, scalable orchestration layer for enterprise agents.
  • Enable engineering teams to build production-grade high-code agents with consistent architecture patterns.
  • Establish strong observability, evaluation, and safety controls for AI-driven workflows.
  • Accelerate AI agents rollout by providing reusable integrations, SDKs, and reference implementations.
  • Serve as the technical authority for enterprise agentic AI engineering at F5.

Impact
  • This role will directly shape how F5 builds and scales agentic AI across engineering, sales, support, finance, and product teams.
  • You will define the technical foundation that enables no-code, low-code, and pro-code AI development while ensuring enterprise-grade reliability, governance, and security.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $186,400.00 - $279,600.00
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5's differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5's benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com)
Equal Employment Opportunity
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

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