Senior AI Developer

Cloud Hybrid Technologies LLC; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Cloud Hybrid Technologies LLC seeks an experienced AI Architect to lead end-to-end GenAI solutions, including RAG pipelines and AI agents, from concept to production. You will design scalable architectures and collaborate with data scientists and engineers.

The role emphasizes knowledge graph development with Neo4j, GraphRAG integration, data pipelines, cloud deployment (GCP), and strong leadership across cross-functional teams.

Qualifications

• Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
• Programming proficiency in Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
• Graph database expertise with Neo4j, data modeling, Cypher and graph algorithms.
• GenAI & RAG knowledge with practical experience building RAG systems and embeddings.
• Cloud & infrastructure experience deploying models in cloud environments (GCP) and managing project infrastructure.
• Excellent analytical and problem-solving skills for tackling complex AI challenges.
• Bachelor's or master's degree in computer science, Data Science, Engineering, or a related technical field.

Responsibilities

• Architect and implement GenAI systems including RAG pipelines and AI agents.
• Design, develop, and maintain knowledge graphs using Neo4j.
• Build GraphRAG pipelines that integrate vector databases and knowledge graphs.
• Collaborate with data scientists and ML engineers to prepare data and infrastructure for LLMs.
• Set up scalable data pipelines for ingestion, embedding generation, preprocessing, and retraining.
• Provide technical leadership and collaborate with cross-functional teams.
• Stay current with GenAI, graph databases, and MLOps; promote CI/CD and responsible AI practices.

Skills

GenAI architecture

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

Graph databases

Neo4j

Cypher

LLMs

MLOps

Problem solving

Education

Bachelor's or Master's in CS/Data Science/Engineering

Tools

Neo4j

PyTorch

TensorFlow

Job description

• Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
• Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs usingNeo4jto structure complex, multi-source enterprise data (both structured and unstructured).
• GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
• Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
• Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
• Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
• Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI.

Required Skills & Qualifications

• Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
• Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
• Graph Database Expertise: Strong hands‑on experience with graph databases, especiallyNeo4j, including data modeling, Cypher query language, and graph algorithms.
• GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
• Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
• Problem‑Solving: Excellent analytical and problem‑solving skills, with the ability to tackle complex, novel challenges in AI development.
• Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor Cloud Hybrid will not make any posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract