AI Engineer

Request Technology - Chicago, IL

Full-time - Mid Level

Chicago, IL

Administrative and Support Services

About the position

The AI Engineer will be a key member of the AI Engineering team, focusing on the development and implementation of advanced legal AI solutions that enhance efficiency, improve decision-making, and provide valuable insights across various administrative business groups and legal practices. This role requires a deep understanding of AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that leverage both structured and unstructured data. The engineer will prototype and test AI solutions using Python and Streamlit, with a particular emphasis on natural language processing and text extraction from documents, utilizing tools such as PyPDF and Azure Document Intelligence. In addition to prototyping, the AI Engineer will develop plugins and assistants using frameworks like LangChain, LlamaIndex, or Semantic Kernel, demonstrating expertise in prompt engineering and semantic function design. The role also involves designing and implementing Retrieval Augmented Generation (RAG) stores, which combine classic information retrieval techniques with semantic embeddings stored in vector and graph databases. The engineer will be responsible for developing and deploying agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents, as well as utilizing Generative AI to extract metadata and insights from documents. Furthermore, the AI Engineer will fine-tune large language models (LLMs) to optimize performance for specific domains and cost efficiency. Collaboration with stakeholders is essential to implement and automate AI-powered solutions for common business workflows. The engineer will also enhance documentation procedures, maintain the codebase, and adhere to best practices to promote knowledge sharing and ensure an organized and reproducible working environment.

Responsibilities

• Develop and implement cutting-edge legal AI solutions that drive efficiency and improve decision making.
• Prototype and test AI solutions using Python and Streamlit, focusing on natural language processing and text extraction from documents.
• 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 classic information retrieval and semantic embeddings.
• Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents.
• Use Generative AI to distill metadata and insights from documents.
• Fine-tune large language models (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.

Requirements

• 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).
• Solid understanding of large language models.
• Enterprise-level experience, preferably in big accounting firms or academia.