AI Engineer

About the job

Experience: 4–8 Years Location: Remote Job overview We are looking for a skilled AI Engineer with strong experience in Knowledge Graphs, Retrieval-Augmented Generation (RAG), and Graph Databases. The ideal candidate will design and develop AI-powered applications using modern LLM frameworks and graph-based data models to build intelligent search and reasoning systems. Key Responsibilities • Design and implement Knowledge Graph architectures for structured data representation and relationship mapping. • Build and optimize RAG (Retrieval-Augmented Generation) pipelines using LLMs. • Develop AI systems integrating LLMs with graph databases for contextual reasoning. • Work with Graph Databases such as Neo4j, TigerGraph, or Amazon Neptune. • Implement semantic search, vector search, and document retrieval systems. • Build scalable AI applications using Python and modern AI frameworks. • Collaborate with data engineers and ML teams to integrate structured and unstructured data. • Optimize query performance and graph-based data models. • Develop APIs and backend services for AI-driven applications. • Stay updated with advancements in LLMs, GenAI, and Knowledge Graph technologies. Required skill • Strong programming skills in Python. • Hands-on experience with Knowledge Graphs and Graph Databases. • Experience implementing RAG architectures. • Familiarity with Neo4j / TigerGraph / Amazon Neptune / ArangoDB. • Experience with vector databases such as Pinecone, Weaviate, or FAISS. • Knowledge of LLM frameworks like LangChain or LlamaIndex. • Understanding of NLP, embeddings, and semantic search. • Experience with REST APIs and microservices architecture. • Good understanding of data modeling and graph query languages (Cypher, Gremlin). Preferred Qualifications • Experience with OpenAI / Hugging Face models. • Familiarity with cloud platforms (AWS / Azure / GCP). • Knowledge of MLOps and AI deployment pipelines. • Experience working on GenAI or enterprise AI applications.

Requirements

• Knowledge Graphs
• RAG
• Graph Databases

Preferred Technologies

• Knowledge Graphs
• RAG
• Graph Databases