Full Stack Engineer

w2 candidates onlyThis is a full-stack engineering role where you will:Contribute to backend services and APIsBuild user-facing web applications and internal toolsSupport development of workflow systems and automation platformsYou’ll work on features that improve agent productivity and customer experience, collaborating closely with senior engineers.This is a hands-on IC role:~70–80% coding (frontend + backend)~20–30% collaboration, reviews, and learningYou will primarily own well-scoped features with guidance.Must-Have QualificationsEducation & ExperienceBS/MS in Computer Science, Engineering, or equivalent experience2–4 years of full-stack software development experienceBackendProficiency in Java (or similar backend language)Experience building or contributing to REST APIsBasic understanding of databases (SQL; exposure to NoSQL is a plus)FrontendProficiency in JavaScript/TypeScriptExperience with React, Angular, or similar frameworksUnderstanding of API integration and responsive UI developmentGeneralFamiliarity with:Git and CI/CD pipelinesBasic testing and debugging practicesStrong problem-solving skills and willingness to learnBasic familiarity with AI-assisted development tools (e.g., Copilot, ChatGPT)Awareness of how AI/LLMs are used in applications (APIs, simple workflows, automation)Nice-to-HaveExposure to Spring Boot or similar frameworksFamiliarity with Docker or cloud environmentsBasic understanding of state management (Redux, etc.)Exposure to monitoring/logging toolsAwareness of workflow or automation systemsExposure to LLM-based features, such as:Chat or summarization use casesPrompt-based workflowsAPI-based AI integrationsWhat You’ll DoDevelop and maintain frontend and backend componentsBuild and enhance web applications and APIsWrite clean, testable, and maintainable codeParticipate in code reviews and Agile ceremoniesTroubleshoot issues in development and production with guidanceCollaborate with engineers, product managers, and designersContribute to improving performance, scalability, and reliabilitySupport development of AI-enabled features or integrations (e.g., automation, assistive workflows)