Overview
Skills
Job Details
Gen AI Architect
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, optimize with 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.
Develop and fine-tune models
Work with NLP, image generation, and other generative tasks
Collaborate with data scientists and software engineers
Optimize models for performance and accuracy
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.