Lead Generative AI Engineer - Natural Language Processing
Confidential, Chicago, IL, United States
NO SPONSORSHIP
AI Engineer
SALARY: $160K - $200K PLUS BONUS $1200 - $10k
LOCATION: CHICAGO, IL
3 days onsite
Law firm in Chicago is looking for an AI Engineer natural language processing and machine learning design. You will have: Python, Langchain, Llama lndex and Semantic Kernel. Large language models. PyPDF Azure document intelligence prompt engineering
The Artificial Intelligence team is brand new, this is a new wave in the Legal space, and we are responsible for creating an AI road map in the Legal industry.
AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data.
-Bachelor's Degree
-A minimum of 5 years of experience in AI engineering or a related field
MUST HAVE
- Proven experience with AI engineering tools and technologies, including Python, Langchain, LlamaIndex, and Semantic Kernel
-Solid understanding of large language models.
The AI Engineer, a member of the AI Engineering team, is responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data.
- Bachelor's Degree in Computer Science, Engineering, or related field
- A minimum of 5 years of experience in AI engineering or a related field
- Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel
- Experience with natural language processing, text extraction, and information retrieval techniques
- Strong understanding of machine learning and deep learning concepts including transformer based GPT models
- Experience with distributed computing and cloud environments (e.g., Microsoft Azure)
- Strong organizational, communication, and problem-solving skills, with the ability to work harmoniously and effectively with others
- Ability to preserve confidentiality and exercise discretion, with strong attention to detail and good judgment