*We are unable to sponsor as this is a permanent Full time role*

*Hybrid, 3 days onsite, 2 days remote*

A prestigious company is looking for an AI Engineer. This engineer will focus on AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data.
Responsibilities:

• 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.
• 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:

• 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 (eg, Microsoft Azure)
• Solid understanding of large language models.
• Enterprise level experience, big accounting firms, academia