AI Engineer || Bellevue, WA – Onsite role || In-Person Final Interview || Local candidates Only

In-Person Final Interview 

Local candidates Only

AI Engineer

Location: Bellevue, WA – Onsite role

Duration: 12 months

Role Overview

Network Core Operations group is seeking an AI Engineer to help existing Java developers improve their productivity and code quality through effective use of AI coding tools.

This is a core software engineering position, not an AI product development or AI agent-building role. The ideal candidate is a strong Java engineer with hands-on experience using Claude Code and other AI coding assistants to design, develop, test, debug, and ship production-quality software.

The engineer will demonstrate how AI can be integrated into everyday development while maintaining ownership of code quality, correctness, security, and architectural decisions.

Key Responsibilities

• Design, develop, test, and maintain production software in a Java/Spring Boot environment.
• Use Claude Code as a primary AI coding agent for scaffolding, refactoring, debugging, test generation, code review, and multi-step coding tasks.
• Leverage OpenAI Codex/Codex CLI, GitHub Copilot, Cursor, and similar tools where appropriate.
• Break down complex features into well-scoped tasks that can be delegated to AI coding tools.
• Critically review, validate, test, and integrate AI-generated code rather than blindly accepting suggestions.
• Develop and maintain automated unit, integration, and end-to-end tests, using AI tools to improve test coverage.
• Build internal tooling, prompts, project instructions, slash commands, MCP integrations, and agent playbooks to support AI-assisted development.
• Identify bugs, security issues, and architectural drift in both human-written and AI-generated code.
• Debug production issues and use AI tools to accelerate root-cause analysis.
• Collaborate with product managers, designers, and engineers to deliver well-architected solutions.
• Evaluate new AI coding tools and help establish effective development workflows, best practices, and guardrails.
• Contribute to technical design documents, architecture decisions, and estimation.

Required Qualifications

• 8+ years of professional software engineering experience, with 1+ years of proven experience leveraging AI coding tools in a development workflow.
• Strong proficiency in Java and Spring / Spring Boot or an equivalent enterprise Java stack.
• Hands-on, real-world experience using Claude Code extensively in software development—not just casual or occasional use.
• Experience with other AI coding assistants or agents, such as GitHub Copilot, Cursor, or OpenAI Codex/Codex CLI.
• Strong fundamentals in data structures, algorithms, and system design.
• Solid understanding of backend development, including:
• REST/gRPC API design
• Relational and/or NoSQL databases
• Messaging and queues, such as Kafka or RabbitMQ
• Microservices architecture
• Strong understanding of software engineering best practices, including Git, CI/CD, automated testing, and code reviews.
• Ability to critically evaluate AI-generated code for accuracy, correctness, security, performance, and maintainability.
• Ability to explain how AI tools have been used to improve development speed and quality in real projects.

Preferred Qualifications

• Familiarity with Python, TypeScript/JavaScript, or Go.
• Experience creating CLAUDE.md project instructions, slash commands, MCP integrations, or AI-assisted engineering playbooks.
• Experience helping other developers adopt AI coding tools effectively.
• Experience working with production systems and resolving complex technical issues.

What We’re Looking For

• A strong Java software engineer who uses AI tools as part of their daily development workflow.
• Someone who can demonstrate measurable productivity improvements through AI-assisted coding.
• A creative problem solver who knows how to break down work, guide AI tools, and validate the final output.
• A team player who can collaborate with developers and help them adopt AI tools more effectively.
• Someone who understands that AI-generated code still requires engineering judgment, testing, and accountability.