As an AI R&D; Engineer you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs) vector databases and agentic frameworksto enhance NYSEs 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 documentationrefining 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
Robust 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
Robust 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)