Role: Senior AI Developer
Location: Mettawa, IL (Onsite)
Rate: $80/hr on C2C
Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG)Â systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.
This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.
Key Responsibilities
- Architect and Implement AI Systems:Â 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:Â 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:Â 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:Â Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
- Technical Leadership & Collaboration:Â 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:Â 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.Â
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Required Skills & Qualifications
- Experience:Â 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
- Programming Proficiency:Â Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
- Graph Database Expertise:Â Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
- GenAI & RAG Knowledge:Â Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
- Cloud & Infrastructure:Â Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
- Problem-Solving:Â 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.Â