Principal GenAI Engineer
Location: NYC, NY - 3 Days WFO
Employment Type: Full Time
About the Role
About the Role
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.
Principal GenAI Engineer in new york at Unknown Company
This position is listed as full time and onsite.