Job Description

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Profile - Full stack AI developer
Education and Certification
Required: Bachelor Degree in Engineering/Computer Science/Information Technology or related topic
Desirable: AWS certification
Required Skills Set -

• Proficient in Python and related web frameworks
• Experience with Gradio for building AI interfaces
• Experience with Large Language Models (LLMs)
• Practical knowledge of AWS services, particularly EC2, S3, and CloudFormation
• Experience with the AWS Management Console for resource provisioning
• Ability to deploy and configure server environments on AWS EC2 instances
• Strong understanding of front-end and back-end development principles
• Familiar with RESTful API design and implementation
• Knowledge of version control systems (Git) and modern development workflows
• Excellent problem-solving skills and attention to detail
• Experience working with Claude 3.7 or 4 Sonnet and LLM frameworks and AI systems such as Hugging Face, LangChain
• Experience with MCP (Model Context Protocol) - Knowledge of containerization and cloud platforms
• Background in UX/UI design principles
• Understanding of AI ethics and responsible deployment practices

Experience - Required: At least 2+ years of experience working in both front-end and back-end development, with demonstrated experience in Python and modern AI frameworks and AWS cloud infrastructure.
Context - The Patent Cooperation Treaty (PCT) assists applicants in seeking patent protection internationally for their inventions, helps patent offices with their patent granting decisions, and facilitates public access to a wealth of technical information relating to those inventions. By filing one international patent application under the PCT, applicants can simultaneously seek protection for an invention in a large number of countries.
Objective of the assignment - We are seeking a skilled Full Stack Developer with expertise in AI technologies to join our team. The ideal candidate will have a strong foundation in both front-end and back-end development, with demonstrated experience in Python and modern AI frameworks and AWS cloud infrastructure.
Tasks:
- Contribute to designing and developing interactive, intuitive and responsive user interfaces for AI-powered web applications using Python and Gradio
- Contribute to building robust back-end services that integrate with LLM and AI technologies including but not limited to MCP servers
- Deploy and manage applications on AWS infrastructure
- Configure and maintain AWS EC2 instances, networking, and security groups
- Optimize applications for security, performance, reliability, and scalability