Data Scientist and AI Specialist

NexOne, Inc; Clearfield (UT); On-site; USD 110,000 - 160,000; Full time

Job summary

NexOne, Inc. in Utah seeks a Data Scientist / AI Specialist to architect and deploy AI solutions powered by LLMs, vector databases, and knowledge graphs. You will bridge raw data to intelligent, context-aware applications driving business impact.

Responsibilities include LLM integration and fine-tuning, vector database architecture for semantic search, knowledge graph development, Python scripting for automation, and cross-functional deployment in cloud environments.

Qualifications

• 3+ years of professional experience in Data Science, ML, or AI with focus on NLP and generative AI.
• Strong proficiency in Python scripting and modern ML libraries.
• BS in a technical field as stated.

Responsibilities

• LLM integration, fine-tuning, and building apps via APIs and frameworks.
• Design, manage, and scale vector search infrastructure for RAG pipelines.
• Develop Knowledge Graphs to structure complex domain data and improve reasoning.
• Write production-ready Python code for data ingestion, preprocessing, embedding, and evaluation.
• Collaborate with Software/Data Engineers and Product Managers to deploy models in cloud production.

Skills

Python

NLP

Machine Learning

Generative AI

Data Science

Education

BS in Technical Domain

Tools

LangChain

LlamaIndex

Pinecone

Milvus

Qdrant

Weaviate

pgvector

Job description

About the Role

We are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact.

Key Responsibilities

• LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).

• Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.

• Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).

• Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.

• Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.

Required Qualifications

• Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.

• Programming: Advanced proficiency in Python scripting and modern ML libraries

• Education: BS in Technical Domain