Principal GenAI Engineer

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.

If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.

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 / GCP

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, 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. xhyhwjd

  
  

• Mentoring and guidance

  Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.