Lead GenAI Architect for Enterprise LLMs

IMR Soft LLC

New York (NY)

Hybrid

USD 180,000 - 260,000

Full time

6 days ago
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Job summary

IMR Soft LLC in NYC is seeking a Principal GenAI Engineer with deep expertise in LLMs to lead enterprise-scale AI implementations for Fortune 500 clients, focusing on RAG systems that blend structured reasoning with advanced LLM architectures for scalable, production-grade solutions.

The role emphasizes design and deployment of GenAI systems on cloud platforms, mentoring engineers, and collaborating with product owners and data scientists to deliver impactful AI products and robust CI/CD

Qualifications

  • 8-13 years of experience in ML/AI systems.
  • 2 years hands-on experience with LLMs (RAG, agents, prompt engineering).
  • Strong proficiency in Python, LangGraph, and SQL.
  • Experience deploying GenAI systems on AWS/Azure/Google Cloud Platform.

Responsibilities

  • Develop and optimize LLM-based solutions: lead design and deployment of large language models, leveraging prompt engineering, RAG, and agent-based architectures.
  • Codebase ownership: build and review high-quality Python and SQL components, focusing on scalability and performance.
  • Cloud integration: assist in deployment of GenAI applications on cloud platforms (Azure, GCP, AWS), optimizing resources and CI/CD processes.
  • Cross-functional collaboration: work with product owners, data scientists, and SMEs to define requirements and deliver AI products.
  • Mentoring and guidance: provide technical leadership and knowledge-sharing within the engineering team.

Skills

Python
LangGraph
SQL
LLMs / GenAI
RAG / prompt engineering
Cloud deployment (AWS/Azure/GC)
Team leadership / mentoring

Tools

LangChain
CI/CD
AWS/Azure/GC Cloud

Job description

IMR Soft LLC in NYC is seeking a Principal GenAI Engineer with deep expertise in LLMs to lead enterprise-scale AI implementations for Fortune 500 clients, focusing on RAG systems that blend structured reasoning with advanced LLM architectures for scalable, production-grade solutions.

The role emphasizes design and deployment of GenAI systems on cloud platforms, mentoring engineers, and collaborating with product owners and data scientists to deliver impactful AI products and robust CI/CD

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