Senior Full Stack GenAI Engineer Agentic AI / Knowledge Graphs

Location: Dallas, TX
Work Arrangement: 100% Onsite 5 Days/Week
Employment Type: Contract

Job Description

We are looking for a highly skilled Senior Full Stack GenAI Engineer for our client, American Airlines, in Dallas, TX.

The ideal candidate should have strong hands-on experience in Java/Python, React, TypeScript, Generative AI, Agentic AI, LangGraph, Knowledge Graphs, and AWS cloud services.

The role involves developing full-stack AI applications, implementing LLM-powered agentic workflows, integrating graph databases, and building Retrieval-Augmented Generation (RAG) solutions.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Java/Python, React, and TypeScript.

• Develop Agentic AI applications and AI-assisted coding workflows.

• Implement LLM-powered solutions using LangGraph.

• Work with Neo4j and Amazon Neptune for graph-based data applications.

• Develop and integrate Knowledge Graphs, ontologies, and semantic models.

• Build RAG solutions using vector search, embeddings, and retrieval techniques.

• Implement MCP (Model Context Protocol), tool use, and AI agent integrations.

• Develop cloud-native solutions using AWS S3 and AWS Lambda.

• Integrate AI capabilities with enterprise applications and APIs.

• Collaborate with cross-functional teams to deliver scalable AI-powered applications.

Required Technical Skills

• Programming: Java, Python

• Frontend: React.js, TypeScript

• Graph Databases: Neo4j, Amazon Neptune

• Agentic AI: Agentic Coding, AI Agents, LangGraph

• Generative AI: LLMs, Generative AI

• Cloud: AWS S3, AWS Lambda

• Knowledge Engineering: Knowledge Graphs, Ontologies, Semantic Modeling

• RAG: Vector Search, Embeddings, Retrieval

• AI Integration: MCP, Tool Use, API Integration

Required Qualifications

• • Strong hands-on software development experience with Java or Python.

  • Experience developing frontend applications using React and TypeScript.

  • Experience with Neo4j or Amazon Neptune.

  • Practical knowledge of Agentic AI, LLMs, and LangGraph.

  • Experience implementing Knowledge Graphs, ontologies, or semantic modeling.

  • Hands-on experience developing RAG applications with vector search and embeddings.

  • Experience with AWS S3 and Lambda.

  • Understanding of MCP and AI tool integration.

  • Excellent problem-solving and communication skills.

  • Must be able to work onsite 5 days per week in Dallas, TX.