NO SPONSORSHIP

AI Engineer/Developer

On site 3 days a week downtown Chicago

Salary - 180 - 200K + $1200 - 10K Bonus

We are looking for someone with a software development background who just happens to have specialized in AI Workflow automation. This makes their skills far more portable and is super important because the field is changing rapidly. Existing automation tech will be become obsolete very soon. We need people that are more focused on the programming side of the house, versus general office productivity.

AI Engineering natural language processing and machine learning design Python Langchain LlamalIndex and Semantic Kernel large language models PyPDF Azure document intelligence prompt engineering

In total, there are 20 people associated with this AI team.

The Artificial Intelligence team is brand new at this organization. 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.

Ideal Candidate:

-Bachelor's Degree in Computer Science, Engineering, or related field
-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
-Understanding of large language models.
-You will likely come across a lot of general software developers who want to transition into AI Engineering - This is an acceptable candidate, as long as they have experience with the AI tools listed above.
-You will also likely come across Data Scientists that are trying to reinvent themselves as Data/AI Engineers. This candidate is acceptable as well, as long as they have experience with the above listed tools and can build a case on AI agents.

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

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 (eg, Microsoft Azure)