Senior AI Developer

MACHINE LEARNING TECHNOLOGIES LLC; Mettawa (IL); On-site; USD 110,000 - 193,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Mettawa, IL is seeking a Senior AI Developer to design and implement GenAI systems, including GraphRAG pipelines and knowledge graphs, with production-grade deployment.

You will collaborate with data scientists, build scalable data pipelines, and lead AI architecture initiatives while applying best practices in CI/CD and responsible AI.

Qualifications include 7+ years in software or AI engineering, strong Python skills, Neo4j experience, and GCP deployment.

Qualifications

• 7+ years of experience in software development or AI engineering.
• Strong portfolio of production-ready AI projects.
• Experience with Graph databases and GenAI concepts.

Responsibilities

• Architect and implement end-to-end GenAI solutions (RAG pipelines, AI agents).
• Design and maintain large-scale knowledge graphs (Neo4j) and graph algorithms.
• Develop GraphRAG pipelines integrating vector databases and knowledge graphs.
• Collaborate with data scientists/ML engineers to fine-tune LLMs and optimize performance.
• Build scalable data pipelines for ingestion, embedding generation, preprocessing, and retraining.
• Provide technical leadership and guide junior developers; drive best practices in CI/CD and responsible AI.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

Neo4j

Cypher

GenAI

RAG

GCP

Education

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

Tools

Neo4j

Google Cloud Platform

Job description

Job Overview

• Job ID: J53219
• Job Title: Senior AI Developer
• Location: Mettawa, IL
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

Key Responsibilities

• 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 using Neo4j to 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, especially Neo4j, 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.

Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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