Senior AI Developer

Job Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->

Job Overview

Job ID: J53219

Posted Date: 02/09/2026

--> Specialized Area: Machine learning

--> Job Title: Senior AI Developer

Location: Mettawa, IL

Duration: 24 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Domain Exposure: Utilities/ Energy, Aerospace/ Airlines, Media/ Entertainment

--> 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 Bench Recruiter: Jessy Thomas

-->

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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.

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