Summary:

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.

Duties and Responsibilities:

Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence)

Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design

Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases

Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents

Use Gen AI to distill metadata and insights from documents

Fine tune LLMs to optimize for domain and cost

Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows

Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment

Qualifications:

To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email (current employees should contact Human Resources).

Education and/or Experience: 

Required:

Bachelor's Degree in Computer Science, Engineering, or related field

A minimum of 5 years of experience in AI engineering or a related field

Preferred:

Master's Degree in Computer Science, Engineering, or 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

Other Skills and Abilities:

The following will also be required of the successful candidate:

Strong organizational skills

Strong attention to detail

Good judgment

Strong interpersonal communication skills

Strong analytical and problem-solving skills

Able to work harmoniously and effectively with others

Able to preserve confidentiality and exercise discretion

Able to work under pressure

Able to manage multiple projects with competing deadlines and priorities

Sidley Austin LLP is an Equal Opportunity Employer