Job Title – Principal AI Engineer

Job Location – India (Remote)

Experience – 10+ Years

Employment Type – Permanent : We are hiring a Principal GenAI Engineer with robust expertise in LLMs to design and deliver enterprise-scale AI solutions for Fortune 500 clients. The role focuses on building Graph-RAG systems by combining Knowledge Graphs, semantic reasoning, and advanced LLM architectures to create scalable, explainable, and production-ready AI applications. What We're Looking For

10+ years of experience in AI/ML with a strong Data Science background.

2+ years of hands-on experience with LLMs, RAG, Agentic AI, and Prompt Engineering.

Strong expertise in Python, LangGraph, and SQL.

Experience deploying GenAI applications on AWS, Azure, or GCP. Good to Have – Knowledge Graph Expertise

Design and implement enterprise Knowledge Graphs, ontologies, and semantic data models.

Experience with Neo4j,



Amazon Neptune, Cypher, entity resolution, and graph enrichment.

Build hybrid Graph + Vector Search solutions and integrate Knowledge Graphs with LLMs to improve explainability and reduce hallucinations. Roles & Responsibilities

Design, develop, and deploy LLM-based applications using RAG, Graph-RAG, LangGraph, and agent-based architectures.

Build scalable, reusable solutions in Python and SQL, following engineering best practices.

Deploy GenAI applications on AWS, Azure, or GCP with robust CI/CD pipelines.

Collaborate with product teams, data scientists, and business stakeholders to deliver AI solutions.

Provide technical leadership, mentor engineers, and drive GenAI best practices across the team.

📌 Principal GenAI Engineer (Data Science Background) (India)
🏢 ALOIS Solutions
📍 India