Full Stack Software Engineer - AI-First
New
J
JobgetherWorkforce compliance software
Based remotely in IndiaFull-TimeMiddle
SalaryMonthly budget of €200 for coworking spaces, sports, and wellness activities; Virtual Stock Options (VSOPs)
Apply NowOpens the employer's application page
Job Details
- Languages
- Fluent English communication skills
- Experience
- At least 3 years of professional experience developing and delivering production-ready software applications.
- Required Skills
- Full Stack DevelopmentJavaSoftware ArchitectureSpring BootRESTful APIs
Requirements
- Have at least 3 years of professional experience developing and delivering production-ready software applications.
- Have strong software engineering fundamentals and the ability to work across programming languages, frameworks, and technology stacks.
- Have hands-on experience using AI coding assistants or autonomous development agents in everyday engineering workflows.
- Be able to evaluate, review, debug, and improve AI-generated code for architecture, security, performance, and maintainability issues.
- Have full stack development experience across frontend and backend applications.
- Understand software architecture, APIs, application design, and scalable system development.
- Have knowledge of application security principles, secure coding practices, and modern cybersecurity threats.
- Have experience contributing to end-to-end software delivery, including system design, deployment, and cloud infrastructure.
- Be able to work autonomously and take ownership of technical decisions.
- Have fluent English communication skills for collaboration within an international remote team.
- Nice to have: Java and Spring Boot experience; Angular and TypeScript familiarity; cloud infrastructure, DevOps, and automated deployment experience; SaaS or enterprise application experience; AI agent orchestration, prompt engineering, or advanced AI-assisted development familiarity.
Responsibilities
- Design, develop, and maintain scalable frontend and backend applications.
- Use AI-powered development tools such as Claude Code and Cursor to accelerate coding and automate repetitive tasks.
- Define technical approaches and review AI-generated implementations for scalability, maintainability, reliability, and engineering standards.
- Collaborate with Product Managers and engineers to shape product direction, prioritize initiatives, and translate business needs into technical solutions.
- Implement secure development practices, identify vulnerabilities, assess risks, and protect sensitive compliance data.
- Contribute across the software lifecycle, from system design and implementation to infrastructure management, deployment, and optimization.
- Build and maintain cloud-based systems and support application performance, scalability, and operational stability.
- Explore AI development practices and improve agent-assisted workflows.
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