Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Skills
GenAI
(RAG)
Fine-tuning LLMs
Prompt tuning
pipelines using LangChain
LangGraph
LangMem
Gemini LLM experience preferred
Data Scientist
Job Details
Role: Gen AI Architect
Location: Houston, TX
Duties
- Lead ideation sessions, facilitate Agentic AI Architecture discussions to develop multi-agent solutions.
- Design, develop, and implement production-grade GenAI engineering solutions that meet project requirements.
- Write efficient SQL queries for database management and reporting purposes.
- Must have proven experience using LLM models to create effective prompts, debug, and optimize with a strong understanding of creating eval prompts for testing the capabilities of LLMs using the LLMs themselves.
- Create and maintain databases, ensuring optimal performance and security.
- Develop tests, automation scripts to implement pipelines for enhancing operational efficiency.
Qualifications
- Proven experience (7-10 years) as a GenAI Architect, or Data Scientist, with strong hands-on experience to implement production-grade solutions.
- Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine-tuning LLMs, Prompt tuning, pipelines using LangChain, LangGraph, LangMem etc.
- Experience working with React.js to develop User Interfaces.
- Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure), with Google Cloud Platform and Gemini LLM experience preferred.
- Strong programming skills required in Python and experience working with version control systems (Git).
- Excellent communication and teamwork skills.
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