AI Specialist

NexOne, Inc.; Clearfield (UT); On-site; USD 120,000 - 180,000; Full time

Job summary

NexOne, Inc. seeks an AI Specialist to architect, deploy, and optimize AI solutions using LLMs, vector databases, and knowledge graphs. You will bridge unstructured data with context-aware apps and drive business impact.

Responsibilities include integrating LLMs, building scalable vector-search pipelines, and developing Knowledge Graphs while collaborating with software, data, and product teams to deploy in cloud environments. 3+ years in AI/ML and strong Python skills are required.

Qualifications

• 3+ years in Data Science, ML, or AI with NLP focus.
• Proficient in Python and modern ML libraries.
• BS in a technical field; US citizenship required.

Responsibilities

• Design, implement, and optimize AI apps using LLMs via APIs and frameworks.
• Architect and manage vector search infrastructure for RAG pipelines.
• Develop Knowledge Graphs to structure complex domain data with LLMs.
• Write production-grade Python scripts for data ingestion, preprocessing, embedding, and evaluation.
• Collaborate with software, data, and product teams to deploy AI models in cloud environments.

Skills

Python

NLP

Generative AI

Education

BS in Technical Domain

Tools

LangChain

LlamaIndex

Pinecone

Milvus

Qdrant

Weaviate

pgvector

Docker

Job description

About the Role

We are seeking an innovative and driven 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

• Citizenship: Must be a US citizen

Bonus Skills

• C# .net core

• JavaScript/React

• MS SQL server

• Docker