Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 18 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
Gen AI Lead Engineer
Google Gemini
Gemini Code Assist
Gemini AI
GPT-3 / GPT models
RAG (Retrieval-Augmented Generation)
LLM evaluation frameworks
prompt engineering
GCP Cloud Storage
Azure Blob Storage
GCP AI services
SQL
database design
data pipelines
model integration.
LLM testing
evaluation methods
and prompt optimization techniques.
Generative AI Solutions Engineer (Lead)/Gen AI Cloud Engineer (Lead)
Job Details
We are seeking a highly skilled Gen AI Lead Engineer to design, develop, and deploy production-grade Generative AI solutions. This role requires strong expertise in Large Language Models (LLMs), prompt engineering, and modern cloud technologies. The ideal candidate will be hands-on, innovative, and capable of leading end-to-end Gen AI engineering efforts.
Key Responsibilities
- Architect, build, and implement scalable, production-ready Generative AI solutions.
- Develop and optimize prompts for LLMs, including prompt debugging, evaluation, and iterative refinement.
- Create evaluation prompts to test and validate LLM capabilities using LLM-based frameworks.
- Write efficient SQL queries for data analysis, reporting, and database operations.
- Design, maintain, and optimize databases with a focus on performance, reliability, and security.
- Integrate AI solutions with cloud platforms and storage systems.
- Collaborate with cross-functional teams to ensure alignment with business requirements and project goals.
Required Technical Skills
- Generative AI & LLMs: Google Gemini, Gemini Code Assist, Gemini AI, GPT-3 / GPT models, RAG (Retrieval-Augmented Generation), LLM evaluation frameworks, prompt engineering.
- Cloud & Storage: Google Cloud Platform Cloud Storage, Azure Blob Storage, Google Cloud Platform AI services.
- Programming & Data: SQL, database design, data pipelines, model integration.
- Other Skills: Strong understanding of LLM testing, evaluation methods, and prompt optimization techniques.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.