Location
New York, United States
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
Our client is seeking a Data Scientist for a direct hire opportunity.
Responsibilities
- Design and deploy production-ready AI systems that leverage LLMs and advanced ML
- Build and maintain multi-agent systems and agentic orchestration workflows using frameworks like LangChain, LangGraph, or AutoGen
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, ensuring high-fidelity context retrieval
- Implement and extend MCP (Model Context Protocol) servers to allow LLMs to interact safely and efficiently with local and remote data sources
- Architect robust, scalable APIs and microservices to serve AI features to end-users with low latency
- Collaborate with product partners and other scientists to identify new opportunities to apply AI / ML to products
- Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices
- Implement rigorous testing and evaluation frameworks for LLM outputs to ensure prompt stability, prevent regressions, and manage hallucination
- Contribute towards the common data science platform
Requirements
- 5\+ years of experience developing AI / ML applications
- Substantial depth and breadth in NLP, Deep Learning, Generative AI, LLMs, and other state of the art AI
- Experience with LLM orchestration frameworks such as LangChain
- Expert-level knowledge of LLM APIs (OpenAI, Anthropic Claude) and open-source models (Llama, Mistral)
- Deep understanding of CS fundamentals and computational complexity
- Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes
- Excellent knowledge of Python and core data science and AI libraries including Pandas, NumPy, PyTorch
- Experience building or utilizing Model Context Protocol (MCP) server
- Strong background in scalable backend environments (Docker, Kubernetes, AWS/GCP)
- Experience moving AI from prototype to production-grade services with monitoring, logging, and rate-limiting
- Ability to independently conduct research and develop appropriate algorithmic solutions to complex business problems
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