Description

You will build and deploy end-to-end GraphRAG systems and AI agents.

This role is on-site.

Responsibilities

• Design and deploy GraphRAG architectures and AI agent workflows.
• Develop and optimize data ingestion pipelines to construct and enrich knowledge graphs.
• Implement graph traversal and querying algorithms, including multi-hop reasoning, community detection, and pathfinding.
• Fine-tune and prompt LLMs to leverage structured graph context while mitigating hallucinations.
• Design evaluation frameworks to measure the quality and reliability of AI agents.

Required Skills

• 4+ years of professional programming experience with Python.
• Hands-on experience with graph technologies, specifically Neo4j.
• Experience with LLM orchestration frameworks such as LangChain or LlamaIndex.
• Proficiency in software engineering fundamentals, data structures, algorithms, Git, and testing.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience with containerization using Docker and Kubernetes.
• Familiarity with React, Node.js, and npx.
• Ability to develop and deploy AI solutions under tight deadlines.

Preferred Skills

• Knowledge of data engineering and ML libraries such as pandas, scikit-learn, or PyTorch.

Key Skills

Education

Any Gradute