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Artificial Intelligence Developer Jobs in Seattle, WA

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Job Title: Artificial Intelligence Engineer Job Location: Bellevue - Washington Job Type: Contract * Lead the development and deployment of machine learning models and analytical solutions for ...

ClifyX

Senior Engineer, AI Data Management

Seattle, WA · On-site

$120K - $163K/yr

Required : • Python • Machine Learning • Artificial Intelligence(AI) • NOSQL • DevOps Continuous Integration and Continuous Delivery (CI/CD) • Docker • ReactJS • JavaScript Company

Docugami

Software Engineering Intern

Kirkland, WA · On-site

... artificial intelligence. Applying AI to natural language processing (NLP) is today's next frontier ... We're looking for Software Engineering Interns to join our team and help make these breakthroughs ...

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Artificial Intelligence Developer information

What is an artificial intelligence developer?

Artificial Intelligence Developers are professionals who design, build, and implement AI-powered systems and applications. They use programming languages like Python, R, or Java, and work with machine learning frameworks to create algorithms capable of learning from data. Their responsibilities include developing AI models, testing and deploying solutions, and ensuring that AI systems perform accurately and efficiently. AI Developers often collaborate with data scientists, engineers, and business stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as an artificial intelligence developer?

To thrive as an Artificial Intelligence Developer, you need a solid background in computer science, mathematics, and programming languages such as Python, along with experience in machine learning and data analysis. Familiarity with frameworks and tools like TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is often required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for excelling in this field. These skills and qualities are crucial because they enable the development of innovative AI solutions that address complex real-world challenges efficiently and collaboratively.

What are some common challenges faced by artificial intelligence developers when deploying machine learning models into production environments?

Artificial Intelligence Developers often encounter challenges when moving machine learning models from development to production, such as managing data pipeline integration, ensuring model scalability, and monitoring model performance over time. Addressing issues like data drift, ensuring reproducibility, and meeting latency requirements for real-time applications can also be complex. Collaboration with data engineers, DevOps teams, and business stakeholders is crucial to ensure a smooth deployment process and ongoing model maintenance. By proactively planning for these challenges, AI Developers can help deliver reliable and effective AI solutions.

What is the difference between Artificial Intelligence Developer vs Data Scientist?

AspectArtificial Intelligence DeveloperData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; programming skills in Python, JavaBachelor's or master's in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&D labsAnalyzes data, builds models, and provides insights; in tech, finance, healthcare sectors
Employer & Industry UsageUsed by tech firms, startups, research institutions focusing on AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

While both roles require programming and a strong understanding of data, Artificial Intelligence Developers focus on creating AI systems and algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. Both roles often collaborate but serve different primary functions within tech and data-driven organizations.

How do I become an artificial intelligence developer?

To become an artificial intelligence developer, you typically need a strong foundation in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Earning a bachelor's degree in a related field and gaining experience through projects, internships, or certifications can also help build relevant expertise.

How much do artificial intelligence developers get paid?

Artificial intelligence developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python often command higher salaries.

What are popular job titles related to Artificial Intelligence Developer jobs in Seattle, WA?

For Artificial Intelligence Developer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Developer jobs in Seattle, WA look for?

The top searched job categories for Artificial Intelligence Developer jobs in Seattle, WA are:

Artificial Intelligence Developer jobs near you
Infographic showing various Artificial Intelligence Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Artificial Intelligence Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 15 days ago

Job description

Job Title: Artificial Intelligence Engineer
Job Location: Bellevue - Washington
Job Type: Contract

Job Description:

  • Lead the development and deployment of machine learning models and analytical solutions for business problems.
  • Partner with stakeholders to identify opportunities for data science to add value.
  • Design experiments and AB tests to evaluate product and feature performance.
  • Build predictive models optimization algorithms or forecasting systems as needed.
  • Analyze large complex datasets to derive actionable insights.
  • Communicate technical findings clearly to nontechnical audiences.
  • Mentor and support junior data scientists and analysts.
  • Ensure best practices in code documentation and reproducibility.

Required Qualification

  • Masters or PhD in Computer Science Statistics Mathematics or a related field.
  • Proficiency in Python or R and strong SQL skills.
  • Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
  • Strong knowledge of statistics experimental design and causal inference.
  • Handson experience with data visualization tools eg Tableau Plotly Dash.
  • Ability to translate business questions into analytical problems.
  • Excellent communication and collaboration skills.

Mandatory Skills : Python - Data Science