Sidley Austin LLP
AI Engineer
Sidley Austin LLP, Chicago, Illinois, United States, 60290
AI Engineer
Recruiting Location:
US-IL-ChicagoDepartment:
Information TechnologySummary
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 designDesign and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databasesDevelop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex AgentsUse Gen AI to distill metadata and insights from documentsFine tune LLMs to optimize for domain and costCollaborate with stakeholders to implement and automate AI powered solutions for common business workflowsEnhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environmentQualifications
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.Education and/or Experience:
Required:Bachelor's Degree in Computer Science, Engineering, or related fieldA minimum of 5 years of experience in AI engineering or a related fieldPreferred:Master's Degree in Computer Science, Engineering, or related fieldProven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic KernelExperience with natural language processing, text extraction, and information retrieval techniquesStrong understanding of machine learning and deep learning concepts including transformer based GPT modelsExperience 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 othersAbility to preserve confidentiality and exercise discretion, with strong attention to detail and good judgmentOther Skills and Abilities:
The following will also be required of the successful candidate:Strong organizational skillsStrong attention to detailGood judgmentStrong interpersonal communication skillsStrong analytical and problem-solving skillsAble to work harmoniously and effectively with othersAble to preserve confidentiality and exercise discretionAble to work under pressureAble to manage multiple projects with competing deadlines and prioritiesSidley Austin LLP is an Equal Opportunity Employer.
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Recruiting Location:
US-IL-ChicagoDepartment:
Information TechnologySummary
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 designDesign and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databasesDevelop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex AgentsUse Gen AI to distill metadata and insights from documentsFine tune LLMs to optimize for domain and costCollaborate with stakeholders to implement and automate AI powered solutions for common business workflowsEnhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environmentQualifications
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.Education and/or Experience:
Required:Bachelor's Degree in Computer Science, Engineering, or related fieldA minimum of 5 years of experience in AI engineering or a related fieldPreferred:Master's Degree in Computer Science, Engineering, or related fieldProven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic KernelExperience with natural language processing, text extraction, and information retrieval techniquesStrong understanding of machine learning and deep learning concepts including transformer based GPT modelsExperience 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 othersAbility to preserve confidentiality and exercise discretion, with strong attention to detail and good judgmentOther Skills and Abilities:
The following will also be required of the successful candidate:Strong organizational skillsStrong attention to detailGood judgmentStrong interpersonal communication skillsStrong analytical and problem-solving skillsAble to work harmoniously and effectively with othersAble to preserve confidentiality and exercise discretionAble to work under pressureAble to manage multiple projects with competing deadlines and prioritiesSidley Austin LLP is an Equal Opportunity Employer.
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