Full Stack Software Engineer developing core Red Oak platform with a focus on innovative product features. Involvement in all phases of software development life cycle.
Responsibilities
Translate complex UX designs into pixel-precise, accessible, and performant frontend implementations, including component architecture decisions, state management patterns, and responsive layout systems.
Build and maintain scalable full-stack applications with a focus on integrating or exploring AI/ML capabilities, including LLMs, RAG pipelines, agentic workflows, and MCP-based tool integrations.
Contribute to backend services within your domain, developing working knowledge of their intent, design, and evolution.
Support improvements to legacy behaviors by applying modern workflow patterns under the guidance of senior engineers.
Support platform reliability by writing high-quality, testable code and collaborating with QA to ensure strong unit, integration, and API coverage across critical workflows.
Participate in code reviews and technical discussions to build consistency and maintainability across the team.
Troubleshoot and resolve complex issues involving multi-step workflows, state transitions, service interactions, and legacy-to-modern integration points.
Contribute to architecture documentation, onboarding materials, and technical design records to support long-term team scalability.
Support compliance initiatives with secure coding, documentation, and process rigor.
Collaborate cross-functionally to design AI-powered features, evaluate emerging models and tools, and own the full lifecycle from prototype to deployment.
Leverage AI coding tools (GitHub Copilot, Cursor, Claude, etc.) to accelerate development velocity, write and review AI-generated code with a critical eye, and champion best practices for safe, effective AI-assisted engineering across the team.
Requirements
3–5 years of experience in software development.
Proficiency in Vue, Angular, or React (Vue 3 preferred).
Strong knowledge of JavaScript, HTML, and CSS3.
Experience with Java EE.
Understanding of database technologies (SQL, NoSQL).
Ability to leverage agentic AI tools (e.g. Claude, Cursor, Copilot) as a core part of your development workflow, with a bias toward shipping faster and smarter.
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