Principal GenAI Engineer with Strong Python experience

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Principal GenAI Engineer with Strong Python experience NYC, NY – Onsite Employment Type: Full Time Max Experience Level: Principal (8–14 years) About the Role Turing 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 Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions. What We’re Looking For 8-14 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 Good to Have - Knowledge Graph Expertise Design and scale enterprise Knowledge Graph architectures Develop ontologies, taxonomies, and semantic data models Implement entity resolution, relationship extraction, and graph enrichment Experience with Neo4j, Amazon Neptune, or similar graph databases Strong hands-on experience with Cypher (or similar graph query languages) Build hybrid retrieval systems combining Knowledge Graphs + vector databases Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability 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. Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment. Show more Show less