Job Description

In this role, you'll be joining our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100 that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team to further improve the product, and implement the new functionalities with a passion for quality. You will implement best practices and state of the art techniques for AI and LLMs, and work on research, experimentation and implementation of novel methods.

Responsibilities

• Required hands-on experience with design and implementation of applications using Large Language Models (LLM). More specifically:
  • Python programming.
  • Google PaLM, OpenAI GPT, LLaMA, or similar models.
  • LangChain, LlamaIndex, or similar frameworks.
  • Advanced prompt engineering.
  • Retrieval Augmented Generation (RAG).
  • Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). Ideal candidate will also have experience in one or more of the following:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• LLM model fine-tuning.
• Embedding model fine tuning.
• Shell scripting.
• Google Cloud Vertex AI (AutoML, AI APIs, etc.).
• Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).
• MLOps (ideally on GCP).
• Data Engineering (including SQL).

Personal Attributes

• Strong ethics.
• Strong technical aptitude.
• Engineering mindset/developer background.
• Strong sense of ownership and teamwork.
• Curious, always learning to get better.
• Enjoys working with clients.
• Excellent communication skills.

Desired Locations

• Pittsburgh, Detroit, New York, or Chicago, but open to any location (including outside of the US) as long as you are willing to overlap US East Coast morning.
• Open to any location in the US as long as you are willing to overlap the US East Coast morning.