Description

Develop expert systems and optimize AI solutions at the intersection of science, product, and engineering.

This role is hybrid.

Responsibilities

• Develop zero-to-one concepts for expert systems.
• Systematically discover and test prompt engineering best practices.
• Optimize datasets for prompt development, model training, and evaluation.
• Test and assess open-source solutions for LLM application development, including orchestration and context management.
• Analyze usage data to gauge AI solution effectiveness and iterate improvements.

Required Skills

• 2 to 5 years of transferable experience in natural language processing (NLP).
• Proficiency in Python and AI development tools.
• Basic familiarity with the architecture and operation of large language models (LLMs).
• Mindset for good experiment design and evaluation; strong analytical and critical thinking.
• Experience building with LLMs.
• Knowledge of NLP.
• Familiarity with MLOps.

Preferred Skills

• Experience developing NLP applications involving NER, information retrieval, text summarization, or question answering.
• Domain knowledge in legal, tax, or accounting.

Key Skills

Education

Any Graduate