Description

You will design and deliver generative AI applications from concept through to production.

Responsibilities

• Translate business requirements into GenAI system architectures.
• Build and maintain full-stack applications, covering both frontend and backend.
• Implement LLM integrations using RAG, prompt engineering, tool calling, and API workflows.
• Develop LLM-powered tools, internal platforms, and APIs.
• Apply DevOps best practices, including CI/CD, containerization, monitoring, and deployment automation.

Required Skills

• Bachelor's degree in CS, IT, Engineering, or related field.
• 5+ years of professional experience in AI or software engineering.
• Strong proficiency in Python.
• Full-stack development experience building production software systems.
• Cloud experience with AWS, Azure, or GCP.
• DevOps experience managing CI/CD pipelines and containerization.
• Experience with API design and integration.
• Proficiency with GitHub or similar source control tools.

Key Skills

Education

Bachelor's degree