Role: Principal GenAI Engineer
Location: NYC, NY - 3 Days WFO
Experience Level: Principal (8–14 years)
Empoyment Type: Full Time
About the Role:
The client 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 For:
· 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
Roles & Responsibilities:
· Develop 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, Google Cloud Platform, 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.
