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AI Engineer/Data Scientist

Cherry Bekaert Recruiting & Staffing Services

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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