Designs, develops, and maintains scalable full-stack applications using Next.js, React, Python, and Go. Builds microservices, REST and GraphQL APIs, event-driven systems, and AI-powered applications with LLMs and intelligent agents. Responsibilities include cloud deployments, CI/CD optimization, testing, code reviews, security, performance, and reliability improvements. Collaborates cross-functionally while applying Clean Architecture, Domain-Driven Design, and secure software development practices.
We are looking for a Senior Full Stack Engineer / AI Engineer with strong experience building scalable applications using modern microservices and event-driven architectures.
In this role, you will design, develop, and maintain robust software solutions, working across frontend and backend technologies while contributing to AI-powered applications, LLM integrations, and intelligent agents.
The ideal candidate is a hands-on engineer with strong technical expertise, a solid understanding of software architecture, and a passion for building secure, scalable, and high-performance products.
Key Responsibilities- Design, develop, and maintain scalable applications using Next.js (React), Python, and Go (Golang).
- Architect and implement decoupled microservices following Clean Architecture and Domain-Driven Design (DDD) principles.
- Design and integrate RESTful APIs, GraphQL services, and asynchronous messaging systems.
- Contribute to the development and integration of AI agents using Large Language Models (LLMs) and conversational AI frameworks.
- Ensure application performance, security, reliability, and scalability.
- Conduct code reviews and implement automated unit and integration testing.
- Collaborate with cross-functional teams on cloud deployments using Azure and AWS.
- Contribute to CI/CD pipeline optimization and software development best practices.
- 3-5 years of experience in full stack software development.
- Strong development experience with Next.js (React), Python, and/or Go (Golang).
- Solid experience designing, developing, and consuming RESTful APIs and GraphQL services.
- Hands-on experience with microservices and event-driven architectures.
- Knowledge of SQL databases such as PostgreSQL or SQL Server, and NoSQL technologies such as MongoDB or Redis.
- Familiarity with asynchronous messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Experience with containerization and orchestration tools, including Docker and Kubernetes.
- Knowledge of CI/CD pipelines, Git, and preferably Azure DevOps.
- Understanding of API security, OAuth 2.0, JWT, and secure development practices.
- Experience implementing unit and integration tests.
- Experience with AI agent frameworks such as LangGraph or AgentCore, or integrating LLMs such as OpenAI or Anthropic.
- Strong understanding of SOLID principles, object-oriented programming, and design patterns.
- Familiarity with Domain-Driven Design (DDD), Clean Architecture, and Clean Code practices.
- Experience with code quality tools such as SonarQube and code coverage analysis.
- Experience with automated testing frameworks.
- Experience working in Agile environments using Scrum or Kanban.
- Familiarity with cloud services such as Azure Web Apps, Azure API Management, and AWS Lambda.
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
