Sr. GenAI Engineer - San Francisco; Remote

The Sr. GenAI Engineer will be responsible for designing, developing, and deploying custom workflows and applications that leverage LLMs (OpenAI GPT models). This person will help advance and modernize the firm and team’s use of Generative AI technologies. This person will also be developing and deploying proof-of-concept applications as well as supporting production use of LLMs in custom applications.

This is a remote position resident in the San Francisco Bay area.

Pursuant to California regulation, the salary range for this position is $213,100 to $260,400, contingent on relevant experience and education, and includes eligibility for performance-based bonuses. We offer generous compensation and benefits packages. For more information visit:

• Responsible for developing and maintaining GenAI solutions including RAG-based chat, document summarization, data extraction, and custom workflows.
• Responsible for collaborating with data scientists, engineers, and product managers to integrate GenAI solutions into products and services.
• Responsible for conducting research and staying up-to-date with the latest advancements in GenAI.
• Responsible for optimizing and fine-tuning GenAI pipelines for performance, scalability, and accuracy.
• Responsible for identifying, designing, and implementing internal process improvements including process automation, optimizations, and scalability enhancements.
• Responsible for creating and fine-tuning prompts (prompt engineering).
• Responsible for working on end-to-end AI projects, from custom Python LLM pipelines to deployment of apps via Streamlit.
• Responsible for collaborating with the firm’s custom application development team and Dev Ops to move POC apps to enterprise-grade applications.

• Minimum 4 years of experience with Python.
• 3+ years of experience with Azure Databricks and other Azure services.
• 3+ years of experience with SQL (SSMS preferred).
• 3+ years of experience in GenAI workflow development (OpenAI GPT models preferred).
• 2+ years of experience with prompt engineering.
• 2+ years of experience implementing RAG architectures.
• 2+ years of experience building and using vector databases.
  2+ years of experience with large-scale NLP.
• Demonstrates advanced working knowledge of GenAI technologies including LLM, vector databases, and prompt engineering.
• Demonstrates advanced working SQL knowledge and experience working with relational databases.
• Demonstrates experience deploying Python-based applications via Streamlit to Databricks Apps, Azure Web Apps, or similar platforms.
• Strong analytic skills related to working with unstructured text data.
• Proficiency in programming languages such as Python and PySpark.
• Performs work under minimal supervision.
• Streamlit experience a plus.
• Bachelor’s degree in computer science or related field;
  Master’s degree in a quantitative field a plus.

Littler is the largest global employment and labor law practice in the world exclusively devoted to representing management. With more than 1,800 attorneys in over 100 offices worldwide, Littler serves as the single source solution provider to the global employer community. Consistently recognized in the industry as a leading and innovative law practice, Littler has been litigating, mediating and negotiating some of the most influential employment law cases and labor contracts on record for over 75 years.

Littler’s unparalleled commitment to labor and employment law helps clients navigate a complex business world with nuanced legal issues—building better solutions for clients’ toughest challenges. With deep experience and resources that are local, everywhere, Littler is fully focused on its clients. With a diverse team of the brightest minds, Littler fosters a culture that celebrates original thinking. And with powerful proprietary technology, Littler disrupts the status quo—delivering bold, groundbreaking innovation that prepares employers not just for what’s happening today, but for what’s likely to happen tomorrow.

We offer a generous benefits package to full-time and part-time employees working at least a 50% schedule. Benefits include comprehensive health, dental…