Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.
Full Stack & AI Application Development •Design and build end-to-end AI-powered applications using modern frontend and backend frameworks. •Integrate LLM and agentic AI components into user-facing and system-facing workflows. •Develop APIs and services that support agent orchestration, tool calling, and workflow execution. •Build intuitive UIs for AI-assisted workflows, human-in-the-loop interactions, and monitoring. Agentic AI & Production Systems. Work with ML/Data teams to operationalize models and agentic systems into production. Implement RAG pipelines, vector search integration, and AI inference layers. Handle model lifecycle concerns: versioning, configuration, evaluation hooks, and rollout strategies. Build safeguards, validations, and fallback mechanisms for AI-driven workflows. DevOps, Reliability & Scale Own CI/CD pipelines, containerization, and deployment of AI applications. Ensure systems meet performance, scalability, security, and reliability requirements. •Implement logging, monitoring, alerting, and cost visibility for AI and application components. •Collaborate with platform and security teams to ensure compliance and operational readiness. Architecture & Collaboration. Contribute to system and application architecture decisions for AI platforms. •Write clean, maintainable, well-tested code and review contributions from peers. •Mentor engineers and raise the bar on engineering and AI delivery practices. •Partner with product and business teams to translate requirements into technical solutions. •7+ years of hands-on experience as a Full Stack Engineer or Senior Software Engineer. •Strong proficiency in backend development Python. Strong experience with modern frontend frameworks React. •Hands-on experience integrating AI/ML or LLM-based services into applications. •Solid understanding of REST APIs, microservices, and distributed systems. Design and build end-to-end AI-powered applications using modern frontend and backend frameworks.
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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)
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- 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
