Senior AI Engineer – Graph-RAG LLM Systems

Monmouth Junction, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Role

We are seeking a Senior AI Engineer to design and build Graph-powered Retrieval-Augmented Generation (Graph-RAG) systems that combine structured semantic reasoning with advanced Large Language Model (LLM) architectures. You will work on production-grade AI systems that integrate knowledge graphs vector search and LLM pipelines to deliver scalable explainable and enterprise-ready AI applications. This role is ideal for engineers passionate about next-generation AI architectures knowledge graphs and intelligent retrieval systems.

Key Responsibilities

Design and build Graph-RAG architectures combining knowledge graphs with LLM pipelines
Develop semantic retrieval systems using vector databases and graph databases
Build scalable LLM-based reasoning systems with explainable outputs
Integrate structured data graph relationships and unstructured documents into unified AI pipelines
Implement AI agents and orchestration frameworks for complex query reasoning
Develop APIs and services for enterprise AI applications
Optimize AI pipelines for performance latency and scalability

Required Skills

Strong programming experience in Python
Experience building LLM applications and RAG pipelines
Knowledge of Graph-RAG architectures and knowledge graphs
Experience with vector databases (Pinecone Weaviate FAISS Chroma)
Experience with graph databases (Neo4j TigerGraph Amazon Neptune)
Familiarity with LLM frameworks such as LangChain LlamaIndex or LangGraph
Strong understanding of semantic search and embeddings

Preferred Skills

Experience with advanced LLM architectures (GPT Claude Llama Mistral)
Knowledge of agentic AI workflows and reasoning systems
Experience deploying AI systems on cloud platforms (AWS Azure GCP)
Experience building production-grade AI pipelines and microservices
Background in knowledge representation and semantic reasoning

Interested candidates:
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Expected Salary

About the Role We are seeking a Senior AI Engineer to design and build Graph-powered Retrieval-Augmented Generation (Graph-RAG) systems that combine structured semantic reasoning with advanced Large Language Model (LLM) architectures. You will work on production-grade AI systems that integrate know...

About the Role

Key Responsibilities

Design and build Graph-RAG architectures combining knowledge graphs with LLM pipelines
Develop semantic retrieval systems using vector databases and graph databases
Build scalable LLM-based reasoning systems with explainable outputs
Integrate structured data graph relationships and unstructured documents into unified AI pipelines
Implement AI agents and orchestration frameworks for complex query reasoning
Develop APIs and services for enterprise AI applications
Optimize AI pipelines for performance latency and scalability