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Fastapi Jobs in Seattle, WA (NOW HIRING)

Have experience building in Python / FastAPI and TypeScript / React. * Are excited by building both intuitive UI workflows and robust backend systems for external customers. * Have strong product ...

Senior Software Engineer - Mobile

Seattle, WA · On-site

$151K - $190K/yr

Backend development experience in Python, FastAPI, or Node.js * Familiarity with PostgreSQL, Redis, and Celery for handling real-time data and background jobs. * Experience working with AWS, GCP, or ...

Senior Cloud Engineer

Seattle, WA

$63.50 - $84.75/hr

Develop Python/FastAPI, TypeScript/Node, or similar services that integrate LLM APIs, retrieval systems, workflow engines, and internal enterprise systems. * Develop MCP-accessible services that ...

Blockchain - Lead Security Engineer

Seattle, WA · On-site

$116K - $153K/yr

... or FastAPI • Solid understanding of blockchain fundamentals, including transaction models, consensus mechanisms, smart contract interaction (EVM-based and non-EVM), gas and fee management, and ...

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Fastapi information

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$146.1K

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How much do fastapi jobs pay per year?

As of Jul 10, 2026, the average yearly pay for fastapi in Seattle, WA is $146,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,536.00 and $151,523.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Seattle, WA? The most popular types of Fastapi jobs in Seattle, WA are:
What job categories do people searching Fastapi jobs in Seattle, WA look for? The top searched job categories for Fastapi jobs in Seattle, WA are:
Infographic showing various Fastapi job openings in Seattle, WA as of July 2026, with employment types broken down into 86% Full Time, 6% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $146,112 per year, or $70.2 per hour.
Senior Data Scientist: Associate AI Experience

Senior Data Scientist: Associate AI Experience

Walmart

Bellevue, WA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,951 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary...What you'll do...We are seeking a Senior Data Scientist to provide technical leadership and longterm vision for nextgeneration AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with crossfunctional influence, mentoring of senior talent, and delivery of highimpact, productionized solutions. You will be a great fit if: - You architect end-to-end ML/AI systems - from feature engineering through production deployment and monitoring - You've built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You're Level 5+ on Steve Yegge's Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact
About the Team TheAssociate AI Experiencesteam applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You'll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale. Our team builds intelligent platforms, agents and ML-powered solutions that make associates' jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You'll Do
  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
  • Architect and deploy large-scale AI systems and autonomous AI agents - conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale - semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
  • Author and review technical designs and standards; present findings to senior leadership.
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
  • Establish best practices for model validations, experiemention, and safe deployment of AI systems.
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.
What You'll Bring
  • Experience building and deploying AI/ML solutions in production environments.
  • Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
  • Demonstrated AI/ML engineering experience:
    • Pipeline orchestration (Airflow, Dagster, Prefect)
    • Model packaging/serving (FastAPI, BentoML, TorchServe)
    • Containerization and deployment (Docker, Kubernetes)
    • CI/CD and testing practices for AI/ML
    • Monitoring, observability (model metrics, drift, loggin)
  • Solid understanding of statistics, experimental design, and causal/measurement thinking.
  • Experience with agentic AI / LLM systems including:
    • Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel, LlamaIndex, custom orchestrators).
    • Prompt strategies, structured outputs, and reliability techniques
    • RAG design and optimization.
    • LLM/agent evaluation methodologies
  • Strong SQL skills and experience working with large-scale datasets.
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.
Minimum Qualifications
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years' experience in data science or Machine Learning roles with demonstrated impact.
Preferred Qualifications
  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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