Description

You will build and optimize full-stack systems that integrate Large Language Models into research workflows.

This role is on-site.

Responsibilities

• Develop and optimize end-to-end systems utilizing LLM technologies across front-end and back-end architectures.
• Translate research requirements into functional solutions powered by LLMs through cross-functional collaboration.
• Apply prompt engineering and LLM-specific optimization techniques to improve system performance.
• Integrate LLM functionalities into existing systems using modern frameworks and back-end technologies.

Required Skills

• 5+ years of experience in software or systems engineering.
• Proficiency in Python.
• In-depth understanding of Large Language Models and their application in system development.
• Hands-on experience with Prompt Engineering.
• Strong background in full-stack development principles.
• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Engineering, Bioinformatics, or a related quantitative field.

Preferred Skills

• Experience with React.
• Experience with Elasticsearch.

Key Skills

Education

Any Graduate