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AI Data Scientist | GEN AI and LLMs

San Jose, CA, US • Posted 16 hours ago • Updated 16 hours ago

Contract Corp To Corp

Contract Independent

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

RAGA
LLM
toolcall
STM
LTM
APIs
WebSocket
LLM loop calls
Langgraph

Summary

Job Title: 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.

Required Skills & Experience:

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Generative AI / LLM Technologies:

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

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">NLP (Natural Language Processing):

BERT
SBERT
Transformers
Word2Vec
GloVe
FastText
RNNs / LSTMs
DIET Classifier (RASA)

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Machine Learning:

XGBoost
Random Forest
Gradient Boosting Models (GBM)
Neural Networks
Logistic Regression
Time Series Models

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Engineering & Deployment:

Django
REST APIs
FastAPI
WebSockets
Microservices Architecture
Kubernetes
Helm
Git
AWS Services including:
- DynamoDB
- OpenSearch

< style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-top:8px; margin-bottom:8px">Additional Requirements:

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

Preferred Candidate Profile:

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90773860
Position Id: 2550-4981-
Posted 16 hours ago

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