Senior AI Developer

MACHINE LEARNING TECHNOLOGIES LLC; Mettawa (IL); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Inclusive workplace for minorities and veterans

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior AI Developer located in Mettawa, IL, to lead the design and development of innovative GenAI solutions. This role requires 7+ years of experience in AI engineering and a mastery of AI frameworks, graph databases, and cloud infrastructure.

The ideal candidate will collaborate with cross-functional teams to implement state-of-the-art AI systems while mentoring junior developers. Exceptional problem-solving skills and a strong educational background in data science or engineering are essential for this role.

Qualifications

• 7+ years of experience in software development or AI engineering.
• Expert-level proficiency in Python and related AI/ML frameworks.
• Strong hands-on experience with graph databases, especially Neo4j.
• Deep understanding of GenAI concepts and LLMs.

Responsibilities

• Lead the design and development of end-to-end GenAI solutions.
• Design, develop, and maintain large-scale knowledge graphs.
• Integrate vector databases and knowledge graphs for AI responses.
• Collaborate with teams to prepare data and infrastructure for LLMs.
• Set up scalable data pipelines for data ingestion and model training.
• Provide technical guidance to junior developers.

Skills

Python

Graph databases (Neo4j)

AI/ML frameworks (PyTorch, TensorFlow)

Problem solving

Cloud environments (GCP)

Education

Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field

Tools

LangChain

LlamaIndex

Job description

Job Details

• 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

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.