Job Title – Principal AI Engineer
Job Location – India (Remote)
Experience – 10+ Years
Employment Type – Permanent

Job Description:

We are hiring a Principal GenAI Engineer with strong 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.

Positive 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 (India)
🏢 ALOIS Solutions
📍 India