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

Applied AI Engineer

Seattle, WA · On-site

$130K - $220K/yr

The Role We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI ...

Applied AI Engineer

Seattle, WA · On-site

$130K - $220K/yr

The Role We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI ...

As an Applied AI Engineer in the Digital Native segment, you'll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their ...

Applied AI Engineer, Inference

Bellevue, WA · On-site

$158K/yr

We are looking for an Applied AI Engineer to help us understand, measure, and improve the real-world performance of our inference platform. In the near term, this role will focus on building and ...

Applied AI Engineer, Inference

Bellevue, WA · On-site

$158K/yr

We are looking for an Applied AI Engineer to help us understand, measure, and improve the real-world performance of our inference platform. In the near term, this role will focus on building and ...

We are looking for an Applied AI Engineer to help us understand, measure, and improve the real-world performance of our inference platform. In the near term, this role will focus on building and ...

Manager - Applied AI

Seattle, WA · On-site

$171K - $230K/yr

Manager - Applied AI Req ID: 10150905 Department Description: At Disney, we're storytellers. We ... Engineers who know product are great. Product ninjas who know how to build are great. What we care ...

Staff Software Applied AI Engineer Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're advancing a new era of AI-powered offensive ...

Senior Applied AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the ... Our team operates at the intersection of research, engineering, and product development ...

Senior Applied AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the ... Our team operates at the intersection of research, engineering, and product development ...

Director, Applied AI

Seattle, WA · On-site

$225K - $265K/yr

You are a technical leader with a rare blend of engineering depth, organizational influence, and a ... Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes ...

Director, Applied AI

Seattle, WA · On-site

$225K - $265K/yr

You are a technical leader with a rare blend of engineering depth, organizational influence, and a ... Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes ...

Director, Applied AI

Seattle, WA · On-site

$225K - $265K/yr

You are a technical leader with a rare blend of engineering depth, organizational influence, and a ... Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes ...

Senior Engineer - Applied AI

Seattle, WA · On-site

$118K - $163K/yr

Position Responsibilities As a Senior Engineer - Applied AI, you will: * Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent ...

Sr. Software Engineer - Applied AI

Seattle, WA · On-site

$139K - $183K/yr

Great Company, Great Culture, Great Rewards, and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting ...

You are a technical leader with a rare blend of engineering depth, organizational influence, and a ... Own the Applied AI roadmap by identifying high‑leverage opportunities to rebuild business ...

Software Engineer, Applied AI

Seattle, WA · On-site

$166K - $203K/yr

Software Engineer, Applied AI Location: Seattle, WA; Austin, TX; Boston, MA; Washington, DC 1 day onsite per week Position Summary At HackerOne, we're revolutionizing offensive security by combining ...

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Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What are popular job titles related to Applied Ai Engineer jobs in Seattle, WA?

For Applied Ai Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Applied Ai Engineer jobs in Seattle, WA look for?

The top searched job categories for Applied Ai Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Applied Ai Engineer jobs?

Cities near Seattle, WA with the most Applied Ai Engineer job openings:

Infographic showing various Applied Ai Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Applied AI Engineer

Gradial

Seattle, WA • On-site

$130K - $220K/yr

Full-time

Re-posted 9 days ago


Job description

The Role

We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.

You'll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.

What You'll Own
  • Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
  • Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.
  • Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.
  • Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.
  • Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
  • Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.
What We're Looking For
  • 4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. 
  • Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). 
  • Practical understanding of LLMs, prompt engineering and agentic architectures.
  • Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.
  • High degree of ownership and comfort in experimental, fast-moving environments.
Nice to Have
  • Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.
  • Exposure to customer-facing roles or user research for AI product development.
  • Background in reinforcement learning or data-centric AI approaches.
Compensation

The salary range for this position is $130,000 - $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications.