Sr. GenAI Engineer
Littler
Job Overview
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Job Description
Job Overview
The Sr. GenAI Engineer at Littler is responsible for designing, developing, and deploying custom workflows and applications leveraging LLMs, particularly OpenAI GPT models. This role advances and modernizes the firm’s use of Generative AI technologies, including developing proof-of-concept applications and supporting production use of LLMs in custom applications.
Responsibilities
- Develop and maintain GenAI solutions including RAG-based chat and document summarization.
- Collaborate with data scientists, engineers, and product managers.
- Conduct research on the latest advancements in GenAI.
- Optimize and fine-tune GenAI pipelines for performance and scalability.
- Create and fine-tune prompts through prompt engineering.
- Deploy Python-based applications via Streamlit and integrate with Azure services.
- Work with the custom application development team to transition POC apps into enterprise-grade solutions.
Qualifications
- 7+ years experience with Python.
- 3+ years experience with Azure Databricks and other Azure services.
- 3+ years experience with SQL (SSMS preferred).
- 3+ years experience in GenAI workflow development with OpenAI GPT models.
- 2+ years experience with prompt engineering and RAG architectures.
- 2+ years experience with vector databases and large-scale NLP.
- Bachelor’s degree required; Master’s preferred.
About Littler
Littler is the largest global employment and labor law practice devoted to representing management. With over 1,800 attorneys worldwide, Littler is recognized for its innovative legal approach and robust proprietary technology.
Benefits
Generous benefits including comprehensive health plans, 401(k), ample time off, mental health support, family building, and more. Visit Littler Benefits for more details.
Key skills/competency
- Python
- Azure
- SQL
- LLMs
- GenAI
- RAG
- NLP
- Streamlit
- Vector databases
- Prompt engineering
How to Get Hired at Littler
- Research Littler's culture: Understand their legal and tech innovation history.
- Customize your resume: Highlight Python and GenAI skills.
- Emphasize certification: Mention Azure and SQL expertise.
- Prepare examples: Showcase projects in GenAI deployment.
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