Micasa Global is a technology organization headquartered in Frisco TX. Our offices span multiple global locations in India, Canada, Belize and DR . With its global employee strength of over 250+, Micasa has been supporting its clients for over 15 years. We have been consistently achieving a growth of 30% Year on Year. We have an extensive experience of working in domains including BFSI, Retail, Healthcare and Pharma, Oil & Gas, Travel & Hospitality,Telecom and Insurance. The technologies we service are Cloud Computing, Cyber Security, Internet & Emerging Technologies, Mobile Technologies, Data Analytics & Big Data Solutions. We understand the needs of our customers and provide them with customized solutions and resources with the tenet of being the "First Time Right".

Micasa Global

A global business delivering products and services in areas of Information Technology, Event Management, Hospitality. 

Principal GenAI Engineer Location: NYC, NY - RemoteEmployment Type: Full TimeExperience Level: Principal (8–14 years)
About the RoleClient is hiring a Principal GenAI Engineer with strong expertise in LLMs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building RAG systems that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.
What We’re Looking For8-13 years of experience in ML/AI systems2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)Strong proficiency in Python, LangGraph, and SQLExperience deploying GenAI systems on AWS / Azure / GCP
Roles & ResponsibilitiesDevelop and optimize LLM-based solutions: Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.Codebase ownership: Build and maintain/review high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.


Generative AI Engineer

What the job involves