AI Data Scientist – GenAI LLM Engineer

Location: San Jose CA
Experience Required: 8 Years
Employment Type: Contract

We are looking for a highly experienced AI Data Scientist with strong expertise in Generative AI Large Language Models (LLMs) NLP Machine Learning and scalable AI system design. The ideal candidate should have hands-on experience building end-to-end AI/ML solutions deploying production-grade applications and working with modern GenAI frameworks and vector databases.

• Strong Python programming expertise

• Hands-on experience with:

  • LangChain

  • LangGraph

  • RAG (Retrieval-Augmented Generation)

  • RAGAS

  • LangSmith

  • DeepEval

• Strong understanding of:

  • Semantic Search

  • Reranking techniques

  • Vector Databases

  • Prompt Engineering

  • LLM Tool Calling / Function Calling

• Experience evaluating and optimizing LLM performance and AI pipelines

• BERT

• SBERT

• Transformers

• Word2Vec

• GloVe

• FastText

• RNNs / LSTMs

• DIET Classifier (RASA)

• XGBoost

• Random Forest

• Gradient Boosting Models (GBM)

• Neural Networks

• Logistic Regression

• Time Series Models

• Django

• REST APIs

• FastAPI

• WebSockets

• Microservices Architecture

• Kubernetes

• Helm

• Git

• AWS Services including:

  • DynamoDB

  • OpenSearch

• Strong experience with Vector Databases

• Experience building APIs and Microservices

• Ability to design standalone scalable AI systems and architecture

• Proven experience delivering end-to-end implementations in production environments

• Strong communication and problem-solving skills

• 8 years of overall industry experience

• Strong background in AI/ML production systems

• Experience working in enterprise-scale environments

• Ability to explain architecture workflows and deployment strategies clearly during discussions/interviews