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Generalist fullstack title and early-mid level amplify applicant competition despite niche LLM requirements.
Core fullstack and AWS skills transfer broadly, while LLM/Gradio expertise adds moderate domain specificity.
Mandatory skills (Python, Gradio, Java, AWS, CloudFormation) create moderate shortlisting rigor.
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Design and develop AI-powered web application interfaces using Python and Gradio.
Build and integrate backend services with LLM technologies and manage deployments on AWS infrastructure.
Manage AWS EC2 instances including networking and security to ensure application scalability and reliability.
Bachelor's Degree in Engineering, Computer Science, or related field.
Proficiency in Python, Gradio, and solid understanding of Java.
Experience with AWS cloud services including EC2, S3, CloudFormation, and AWS Management Console.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in full stack development combining AI integration with cloud infrastructure management (AWS).
Skilled in deployment and configuration of scalable server environments and backend services using modern workflows (Git).
Familiar with integrating large language model (LLM) technologies into existing platforms with focus on performance and security.