Description

You will architect and deploy end-to-end GenAI solutions, from concept to production.

Responsibilities

• Design and maintain large-scale knowledge graphs using Neo4j to structure complex enterprise data.
• Build GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual information.
• Collaborate with data scientists to prepare infrastructure for fine-tuning LLMs and optimizing performance.
• Develop scalable data pipelines for ingestion, embedding generation, and continuous model retraining.
• Provide technical guidance to junior developers and partner with cross-functional teams to translate business needs into scalable architectures.

Required Skills

• 7+ years of experience in software development or AI engineering with production-ready AI projects.
• Expert-level proficiency in Python and AI/ML frameworks including PyTorch, TensorFlow, LangChain, and LlamaIndex.
• Strong hands-on experience with graph databases, specifically Neo4j, including data modeling and Cypher query language.
• Deep understanding of GenAI concepts, LLMs, prompt engineering, embeddings, and RAG systems.
• Experience deploying and optimizing models in cloud environments, specifically GCP.
• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related technical field.

Preferred Skills

• Advocacy and implementation of best practices in CI/CD, testing, and responsible AI.
• Knowledge of graph algorithms and techniques to mitigate hallucinations in AI systems.

Key Skills

Education

Any Graduate