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Backend Full Stack Engineer Jobs in Seattle, WA (NOW HIRING)

Senior AI Engineer

Bellevue, WA · On-site

$75K - $85K/yr

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 ...

The Role We are looking for a highly curious, self-directed Full-stack engineer who thrives on ... between frontend, backend, and design teams. You have a sharp eye for great UX/UI. You enjoy ...

About the job Agentic Full Stack Engineer II Golden Analytics Bellevue, WA (Onsite) Full-time Paste this url into your browser to view the full and apply directly provn.co: - analytics/jobs/94d9ff69 ...

Role summary We are seeking a Senior Full Stack Engineer II to join our Digital Innovations team ... Build and ship backend changes in C#/.NET and/or Node.js, and make data model changes in Postgres ...

Designing back-end services and abstractions to help mobile apps retrieve information from various ... Solid technical communication skills with business partners and other engineer teams * Experience ...

Designing back-end services and abstractions to help mobile apps retrieve information from various ... Solid technical communication skills with business partners and other engineer teams * Experience ...

Showing results 21-40

Backend Full Stack Engineer information

See Seattle, WA salary details

$50.6K

$153.4K

$216.8K

How much do backend full stack engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for backend full stack engineer in Seattle, WA is $153,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $179,800.00 per year, depending on experience, location, and employer.

What is a backend full stack engineer?

A Backend Full Stack Engineer is a software developer who specializes in building and maintaining the server-side logic, databases, and APIs of an application, while also having proficiency in front-end technologies. They are capable of working on both the backend and frontend parts of web applications, allowing them to develop end-to-end features and ensure seamless integration between the client and server sides. This role requires strong knowledge of programming languages such as JavaScript (Node.js), Python, or Java, as well as familiarity with databases, server architectures, and various web frameworks. Backend Full Stack Engineers often collaborate with designers, frontend developers, and other stakeholders to deliver complete and functional products.

How does a backend full stack engineer typically collaborate with frontend developers and other team members?

Backend Full Stack Engineers frequently work alongside frontend developers, product managers, and QA engineers to deliver seamless user experiences. They are responsible for building and maintaining server-side logic and APIs, ensuring data flows efficiently between the backend and frontend. Effective communication is essential, as they must align backend functionality with frontend requirements and participate in code reviews, sprint planning, and troubleshooting sessions. This collaborative environment fosters learning and often provides opportunities to contribute across the tech stack, enhancing both technical and interpersonal skills.

What are the key skills and qualifications needed to thrive as a backend full stack engineer?

To thrive as a Backend Full Stack Engineer, you need strong proficiency in server-side languages (such as Node.js, Python, or Java), database management, and a solid understanding of front-end technologies, usually supported by a degree in computer science or related experience. Familiarity with frameworks (like Express, Django, or Spring), version control systems (like Git), and cloud platforms (such as AWS or Azure) is typically required. Effective problem-solving, communication, and teamwork skills help you collaborate across disciplines and deliver robust solutions. These skills ensure scalable, maintainable applications and seamless integration between backend and frontend systems, which are critical for organizational success.

What is the difference between Backend Full Stack Engineer vs Frontend Developer?

AspectBackend Full Stack EngineerFrontend Developer
Primary FocusDeveloping server-side logic, databases, and APIsDesigning and implementing user interface and client-side features
Required SkillsProgramming languages like Python, Java, Node.js; databases; server managementHTML, CSS, JavaScript; frameworks like React or Angular
Work EnvironmentOften involved in both front-end and back-end tasks, collaborating across teamsPrimarily focused on client-side development, UI/UX design

While both roles require strong programming skills, Backend Full Stack Engineers handle both server-side and client-side development, whereas Frontend Developers focus mainly on creating engaging user interfaces. Understanding these differences helps employers and job seekers target the right skills and responsibilities for each role.

What job categories do people searching Backend Full Stack Engineer jobs in Seattle, WA look for? The top searched job categories for Backend Full Stack Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Backend Full Stack Engineer jobs? Cities near Seattle, WA with the most Backend Full Stack Engineer job openings:
Infographic showing various Backend Full Stack Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $153,373 per year, or $73.7 per hour.

Senior AI Engineer

Qaurs Techno Systems LLC

Bellevue, WA • On-site

$75K - $85K/yr

Full-time

Re-posted 6 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.