AI Systems Engineer II

Description:
The Role: 
We are inviting an AI Systems Engineer with a specific focus on Large Language Models (LLMs) to join our team. 
This role involves leveraging LLM technologies across both front-end and back-end development to contribute to significant advancements in biopharmaceutical research. 
Candidates should have a strong interest in LLMs and be enthusiastic about full-stack development.

Key Responsibilities:
Develop and optimize systems specifically using LLM technologies, encompassing both front-end and back-end aspects.
Work collaboratively with cross-functional teams to translate research needs into effective solutions powered by LLMs.
Utilize modern front-end frameworks (like React) and back-end technologies to integrate LLM functionalities into our systems.
Apply prompt engineering and other optimization techniques specific to LLMs.
Stay abreast of the latest developments in LLMs, full-stack development practices, and emerging tech in the field.
Engage in the full software development lifecycle, from conceptualization to deployment and ongoing maintenance.

Qualifications:
Bachelor’s degree in Computer Science, Artificial Intelligence, Bioinformatics, or a related field.
Experience or strong interest in full-stack development, with skills in front-end frameworks like React.
In-depth understanding of Large Language Models (LLMs) and their application in system development.
Analytical and problem-solving skills, with a proactive approach to technology.
Excellent communication and teamwork abilities, thriving in a multidisciplinary environment.
A commitment to continuous learning and staying updated with LLM and technology trends.

Required Degree or Certification: 
Bachelor's degree or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Bioinformatics, or a related discipline.

Top 3 Required Skill Sets: LLM, Python, Prompt Engineering

Top 3 Nice to Have Skill Sets: React, Elasticsearch