Senior AI Developer

Artifintech; Illinois; On-site; USD 120,000 - 180,000; Full time

Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC in Illinois is seeking an experienced Architect to lead end-to-end GenAI system design and deployment, including RAG pipelines and AI agents. You will shape data infrastructure and scalable knowledge graphs using Neo4j, collaborating with data scientists and engineers across teams.

The role emphasizes cloud deployment on GCP, model optimization, and building robust AI architectures while staying ahead of GenAI and MLOps best practices.

Qualifications

• 7+ years of experience in software development or AI engineering.
• Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
• Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
• Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
• Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
• Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
• Bachelor's or master's degree in computer science, Data Science, Engineering, or a related technical field.

Responsibilities

• Architect and implement end-to-end GenAI systems, including RAG pipelines and AI agents from idea to production.
• Develop and maintain large-scale knowledge graphs using Neo4j to structure enterprise data.
• Build GraphRAG pipelines that ground AI responses in factual information and reduce hallucinations.
• Collaborate with data scientists to prepare data and optimize models for performance and efficiency.
• Set up scalable data pipelines for ingestion, embedding generation, and training/retraining.
• Provide technical leadership and translate business needs into robust AI architectures.
• Stay current with GenAI, graph databases, and MLOps; promote CI/CD and responsible AI practices.

Skills

Python

ML frameworks

LangChain

LlamaIndex

Neo4j

GCP

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

Cypher

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.

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC 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. ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC 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 will ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC require in a 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