Generative AI & Data Science Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Langgraph

Job Details

Title: Generative AI & Data Science Engineer

Location: Basking Ridge, NJ Hybrid 3 days in the office a week.

About the Role:

We are looking for a versatile and driven Generative AI & Data Science Engineer to join our growing AI/ML team. This hybrid role spans the cutting edge of LLM-based multi-agent systems and data-driven modeling, combining technologies like LangGraph, RAG, VectorDBs, and cloud ML platforms (Google Cloud Platform, AWS) with classical data science practices including predictive modeling, experimentation, and statistical analysis.

Key Responsibilities:

Generative AI / Multi-Agent Systems:

  • Build and manage multi-agent GenAI applications using LangGraph, including agent orchestration, memory handling, and dynamic routing.
  • Design and implement RAG pipelines for enterprise search, intelligent assistants, and task automation, leveraging best practices in chunking and embedding generation.
  • Integrate with Vector Databases (e.g., Pinecone, Weaviate, FAISS) to enable scalable semantic search and retrieval.
  • Fine-tune LLMs using techniques like LoRA, PEFT, and parameter-efficient tuning for domain-specific use cases.
  • Deploy GenAI systems using Vertex AI (Google Cloud) and AWS ML services (SageMaker, Bedrock, Lambda).

Data Science & Analytics:

  • Conduct exploratory data analysis, build predictive and statistical models (e.g., regression, classification, clustering), and generate actionable insights.
  • Design and execute experiments (A/B testing) to validate feature changes, GenAI-driven enhancements, and ML model outputs.
  • Collaborate with stakeholders to translate business problems into data and ML-driven solutions.
  • Develop and automate dashboards, reporting pipelines, and model monitoring tools for continuous feedback loops.
  • Support feature engineering, data wrangling, and data quality analysis using SQL, Pandas, and other data science libraries.

Required Skills and Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field.
  • 3 6 years of combined experience in Data Science and AI/ML Engineering roles.
  • Hands-on experience with LangGraph, LangChain, and/or similar LLM orchestration frameworks.
  • Solid foundation in machine learning, statistical modeling, and data analytics.
  • Proficiency with Python, including libraries like Scikit-learn, Pandas, NumPy, PyTorch, or TensorFlow.
  • Strong SQL skills and experience working with structured and unstructured data.
  • Experience deploying ML/GenAI models on cloud platforms (Vertex AI, Google Cloud Platform, AWS).
  • Working knowledge of RAG, fine-tuning, and vector embeddings.

Preferred Qualifications:

  • Familiarity with agent frameworks like CrewAI, AutoGen, or Langgraph.
  • Experience integrating LLMs into data pipelines, business intelligence tools, or decision support systems.
  • Contributions to open-source GenAI, data science projects, or publications.

Understanding of model governance, responsible AI, and cloud cost optimization

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