Description

You will architect and lead the development of complex, AI-native systems.

Responsibilities

• Architect and design scalable, reliable distributed systems and business applications.
• Lead AI innovation using SageMaker, LLMs, LangChain, and Prompt Engineering to build AI-native applications.
• Develop efficient server-side applications using Java, TypeScript, Spring, and Express.
• Design and implement cloud-native solutions in AWS or GCP environments.
• Provide technical leadership and mentor engineers while enforcing coding standards.

Required Skills

• 12+ years developing systems and software in large-scale environments.
• 5+ years designing and building complex distributed systems.
• Proven experience in AI technologies including SageMaker, LangChain, LLMs, and DialogFlow.
• Proficiency in Python, Java, and Golang.
• Experience designing solutions in AWS or GCP.
• Familiarity with Machine Learning and Tensorflow.
• Experience developing ML/AI-native applications for at least 1 year.
• Strong problem-solving and analytical skills.

Key Skills

Education

Any Graduate