Job Description **Job Purpose** As an AI R&D; Engineer, you will collaborate with NYSE's central AI team to build and deploy cutting-edge generative AI applications. You'll lead applied research and development efforts-working with large language models (LLMs), vector databases, and agentic frameworks-to enhance NYSE's internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. **Responsibilities** + Design and deploy RAG pipelines using LangChain and vector databases + Prototype and evaluate GenAI applications on NYSE data using commercial and open models + Build microservices to serve LLMs via APIs; optimize for performance and cost + Use AI assistants for code generation, testing, and documentation-refining outputs through expert review + Track experiments via MLflow and deploy using CI/CD, Docker, and Kubernetes + Define metrics for generative AI performance (e.g. latency, accuracy, user satisfaction)
+ Share findings and lead technical discussions with NYC stakeholders **Collaboration Style** + Daily video stand-ups during overlap window + Asynchronous updates and documentation via Microsoft Teams + Strong emphasis on both written and oral communication **Knowledge and Experience** + 5+ years in software development, 2+ with GenAI or NLP + Proficiency in Python (FastAPI, asyncio); robust with Hugging Face, OpenAI APIs, LangChain + Experience with vector databases (e.g. Pinecone, Weaviate) and MLflow + Strong judgment in using GenAI tools like ChatGPT and Copilot productively + Excellent written and oral English communication + Familiarity with financial-market data (e.g. order books, trading events) **Nice-to-Have Knowledge and Experience** + M.S. or Ph.D. in ML, AI, or related field + Peer-reviewed publications in related fields **Schedule** Working Hours: 12:00 PM - 8:00 PM IST (with overlap from 8:30 AM - 12:00 PM EST)