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Java Ai Developer Jobs in Seattle, WA (NOW HIRING)

Qaurs Techno Systems LLC

Senior AI Engineer

Bellevue, WA · On-site

$75K - $85K/yr

Mandatory Skills : 8-10+ years backend/full-stack experience Expert in at least one - Python/ Java ... Cloud & DevOps * Deploy AI solutions on AWS, Azure, or GCP. * Implement CI/CD pipelines and MLOps ...

Bright Vision Technologies

PTC Java Engineer

Bellevue, WA · On-site

$100 - $150/hr

PTC Java Engineer-Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

New

DocuSign

AI Agentic Engineer

Seattle, WA · On-site +1

$60 - $82.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Familiarity with Agile, DevOps, and CI/CD practices * Familiarity with containerization and ... Hands on experience on one or more scripting/programming languages (e.g., Python, Java)

Infosys Limited Digital

Java/J2EE Developer

Seattle, WA · On-site

$58 - $75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... stack|Java Full stack Technical Skills 2 Technology|Restful web services|Java web services ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

kidder

Enterprise AI Engineer I

Seattle, WA · On-site

... Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch) 5. Strong ... engineering, and dimensionality reduction 7. Familiarity with cloud-based AI services and platforms ...

New

Infosys Limited Digital

Java Full Stack Developer

Seattle, WA · On-site

$59.75 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Java Full stack Technical Skills 2 Technology|Reactive Programming|react JS Technical Skills 3 ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

Infosys Limited

Java/J2EE Developer

Seattle, WA · On-site

$80 - $117/hr

  • Medical

  • Retirement

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Experience in Core Java, J2EE, Springboot, Spring MVC, Rest API, Angular or React. Preferred Skill ...

New

Armada

AI Engineer

Bellevue, WA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong programming skills in Python and proficiency in Java, C++, or another production language ... Experience optimizing AI workloads for latency, throughput, memory, power, and real-time ...

Microsoft

Principal Applied AI Engineer

Redmond, WA · On-site

As a Principal Applied AI Engineer , you will be a principal technical leader responsible for ... C++, C#, Java, JavaScript, or Python * OR equivalent experience. * 2+ years of experience ...

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All JobsJava Ai Developer JobsJava Ai Developer Jobs in Seattle, WA

Java Ai Developer information

See Seattle, WA salary details

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How much do java ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for java ai developer in Seattle, WA is $64.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.82 and $72.21 per hour, depending on experience, location, and employer.

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.

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

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.

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Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $134,209 per year, or $64.5 per hour.

Senior AI Engineer

Qaurs Techno Systems LLC

Bellevue, WA • On-site

$75K - $85K/yr

Full-time

Re-posted 14 days ago

Job description

Position Summary
We are seeking a highly experienced Senior AI Solutions Engineer to design, develop, and deploy production-grade AI and Generative AI solutions. The ideal candidate will have strong backend/full-stack engineering expertise, hands-on experience building LLM-powered applications, RAG architectures, agentic workflows, and enterprise-scale data platforms such as Snowflake, Databricks, and BigQuery.
This role requires direct collaboration with business stakeholders, product teams, and customers to translate business problems into scalable AI-driven solutions deployed in production environments.
Mandatory Skills       : 8–10+ years backend/full-stack experience
Expert in at least one – Python/ Java / Go / TypeScript and should have API design & integration experience
SQL, Data Pipelines, Snowflake/ Databricks
LLMs/RAG/agentic workflows
Experience working with clients / business stakeholders and product teams directly
AWS/Azure/GCP
Key Responsibilities
AI/GenAI Solution Development
  • Design, build, and deploy production-ready AI/LLM applications.
  • Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
  • Build agentic workflows leveraging modern orchestration frameworks.
  • Create scalable AI architectures integrating LLMs, vector databases, APIs, and enterprise systems.
  • Evaluate and optimize model performance, latency, accuracy, and cost.
Backend & Platform Engineering
  • Design and develop scalable APIs and microservices.
  • Build robust backend services using Python, Java, Go, or TypeScript.
  • Develop integrations with internal and external platforms.
  • Implement secure authentication, authorization, and governance controls.
Data Engineering & Analytics
  • Design and maintain data pipelines supporting AI applications.
  • Work with Snowflake, Databricks, BigQuery, or similar modern data platforms.
  • Build ETL/ELT pipelines and data transformation workflows.
  • Ensure high-quality data ingestion, processing, and retrieval.
Cloud & DevOps
  • Deploy AI solutions on AWS, Azure, or GCP.
  • Implement CI/CD pipelines and MLOps practices.
  • Monitor production AI systems and optimize infrastructure utilization.
  • Ensure scalability, reliability, and observability of deployed solutions.
Client & Stakeholder Engagement
  • Partner directly with customers and business stakeholders.
  • Gather requirements and translate business challenges into technical solutions.
  • Present architecture decisions, trade-offs, and implementation plans.
  • Drive projects from prototype through production deployment.
Required Qualifications
Experience
  • 8–12+ years of software engineering experience.
  • Proven experience delivering customer-facing software solutions.
  • Demonstrated experience taking AI solutions from prototype to production.
  • Experience working directly with clients, product managers, and business teams.