AI Full Stack Engineer-Remote
We are looking for a hands-on Full Stack Engineer who thrives in building scalable, performant, and user-friendly web applications ideally someone who can turn complex ideas into clean, maintainable code across the entire stack. While experience with AI-enhanced features is a bonus, this role is primarily about full stack engineering excellence.
What You ll Need to Bring
ā¢ 8+ years of experience designing and developing robust full stack applications
ā¢ Solid hands-on experience with React, Node.js, TypeScript, SQL/NoSQL, C#/JAVA
ā¢ Strong Python skills (a must-have)
ā¢ Deep understanding of software engineering fundamentals:
ā¢ OOP design principles
ā¢ Asynchronous programming
ā¢ Lazy loading, caching, performance optimization
ā¢ A sharp problem-solver who can think creatively and architect solutions outside the norm
ā¢ Proven track record of owning features end-to-end: from design to testing, deployment, and production support
ā¢ Experience with code quality, testing, CI/CD pipelines, and secure coding practices
Nice to Have / Bonus Skills
ā¢ Exposure to AI/ML integration in production systems (e.g., embedding search, AI assistants, language models)
ā¢ Familiarity with AI concepts like RAG, vector databases, LLM fine-tuning, agent frameworks (e.g., LangGraph)
ā¢ Exposure of scaling from AI ideas to fully deployed features with QA, security, and monitoring
Apply Now
Apply Now
What You ll Need to Bring
ā¢ 8+ years of experience designing and developing robust full stack applications
ā¢ Solid hands-on experience with React, Node.js, TypeScript, SQL/NoSQL, C#/JAVA
ā¢ Strong Python skills (a must-have)
ā¢ Deep understanding of software engineering fundamentals:
ā¢ OOP design principles
ā¢ Asynchronous programming
ā¢ Lazy loading, caching, performance optimization
ā¢ A sharp problem-solver who can think creatively and architect solutions outside the norm
ā¢ Proven track record of owning features end-to-end: from design to testing, deployment, and production support
ā¢ Experience with code quality, testing, CI/CD pipelines, and secure coding practices
Nice to Have / Bonus Skills
ā¢ Exposure to AI/ML integration in production systems (e.g., embedding search, AI assistants, language models)
ā¢ Familiarity with AI concepts like RAG, vector databases, LLM fine-tuning, agent frameworks (e.g., LangGraph)
ā¢ Exposure of scaling from AI ideas to fully deployed features with QA, security, and monitoring
Apply Now
Apply Now